From Babble to Words
Collection
The models, tokenizers and datasets used for our submission for BabyLM 2024, investigating the viability of training LLMs on phoneme streams.
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Well it's just that, you know, a pound, or a hundred pounds today, is not the same as a hundred pounds in a year's time, or two, two years' time. | w ɛ l WORD_BOUNDARY ɪ t s WORD_BOUNDARY d̠ʒ ʌ s t WORD_BOUNDARY ð æ t WORD_BOUNDARY j uː WORD_BOUNDARY n oʊ WORD_BOUNDARY ʌ WORD_BOUNDARY p aʊ n d WORD_BOUNDARY ɔ ɹ WORD_BOUNDARY ʌ WORD_BOUNDARY h ʌ n d ɹ ɪ d WORD_BOUNDARY p aʊ n d z WORD_BOUNDARY t ə d eɪ WORD_BOUNDARY ɪ z WORD_BOUNDARY n ɑ t WORD_BOUNDARY ð ə WORD_BOUNDARY s eɪ m WORD_BOUNDARY æ z WORD_BOUNDARY ʌ WORD_BOUNDARY h ʌ n d ɹ ɪ d WORD_BOUNDARY p aʊ n d z WORD_BOUNDARY ɪ n WORD_BOUNDARY ʌ WORD_BOUNDARY j ɪ ɹ z WORD_BOUNDARY t aɪ m WORD_BOUNDARY ɔ ɹ WORD_BOUNDARY t uː WORD_BOUNDARY t uː WORD_BOUNDARY j ɪ ɹ z WORD_BOUNDARY t aɪ m WORD_BOUNDARY |
Right. | ɹ aɪ t WORD_BOUNDARY |
So that would be opportunity cost? | s oʊ WORD_BOUNDARY ð æ t WORD_BOUNDARY w ʊ d WORD_BOUNDARY b iː WORD_BOUNDARY ɑ p ə ɹ t uː n ɪ t i WORD_BOUNDARY k ɔ s t WORD_BOUNDARY |
That's right, yes, that's right, so, in actual fact, this area here, right, is going to be the discounted sum of all future rural incomes. | ð æ t s WORD_BOUNDARY ɹ aɪ t WORD_BOUNDARY j ɛ s WORD_BOUNDARY ð æ t s WORD_BOUNDARY ɹ aɪ t WORD_BOUNDARY s oʊ WORD_BOUNDARY ɪ n WORD_BOUNDARY æ k t̠ʃ uː ə l WORD_BOUNDARY f æ k t WORD_BOUNDARY ð ɪ s WORD_BOUNDARY ɛ ɹ iə WORD_BOUNDARY h ɪ ɹ WORD_BOUNDARY ɹ aɪ t WORD_BOUNDARY ɪ z WORD_BOUNDARY ɡ oʊ ɪ ŋ WORD_BOUNDARY t ə b i WORD_BOUNDARY ð ə WORD_BOUNDARY d ɪ s k aʊ n t ɪ d WORD_BOUNDARY s ʌ m WORD_BOUNDARY ʌ v WORD_BOUNDARY ɔ l WORD_BOUNDARY f j uː t̠ʃ ə ɹ WORD_BOUNDARY ɹ ʊ ɹ ɹ ə l WORD_BOUNDARY ɪ ŋ k ʌ m z WORD_BOUNDARY |
Alright, now if we look at the, the rural instead of the urban wage rate, right, up here alright, now let's just say that it takes that amount of time before this individual gets a job in the urban area, alright, now if we discount alright the erm, the rural, the urban wages right, that's all this | ɔ l ɹ aɪ t WORD_BOUNDARY n aʊ WORD_BOUNDARY ɪ f WORD_BOUNDARY w iː WORD_BOUNDARY l ʊ k WORD_BOUNDARY æ t WORD_BOUNDARY ð ə WORD_BOUNDARY ð ə WORD_BOUNDARY ɹ ʊ ɹ ɹ ə l WORD_BOUNDARY ɪ n s t ɛ d WORD_BOUNDARY ʌ v ð ɪ WORD_BOUNDARY ɜː b ə n WORD_BOUNDARY w eɪ d̠ʒ WORD_BOUNDARY ɹ eɪ t WORD_BOUNDARY ɹ aɪ t WORD_BOUNDARY ʌ p WORD_BOUNDARY h ɪ ɹ WORD_BOUNDARY ɔ l ɹ aɪ t WORD_BOUNDARY n aʊ WORD_BOUNDARY l ɛ t s WORD_BOUNDARY d̠ʒ ʌ s t WORD_BOUNDARY s eɪ WORD_BOUNDARY ð ʌ t ɪ t WORD_BOUNDARY t eɪ k s WORD_BOUNDARY ð æ t WORD_BOUNDARY ʌ m aʊ n t WORD_BOUNDARY ʌ v WORD_BOUNDARY t aɪ m WORD_BOUNDARY b ɪ f ɔ ɹ WORD_BOUNDARY ð ɪ s WORD_BOUNDARY ɪ n d ɪ v ɪ d̠ʒ uː ə l WORD_BOUNDARY ɡ ɛ t s WORD_BOUNDARY ʌ WORD_BOUNDARY d̠ʒ ɑ b WORD_BOUNDARY ɪ n ð ɪ WORD_BOUNDARY ɜː b ə n WORD_BOUNDARY ɛ ɹ iə WORD_BOUNDARY ɔ l ɹ aɪ t WORD_BOUNDARY n aʊ WORD_BOUNDARY ɪ f WORD_BOUNDARY w iː WORD_BOUNDARY d ɪ s k aʊ n t WORD_BOUNDARY ɔ l ɹ aɪ t WORD_BOUNDARY ð ɪ WORD_BOUNDARY ɜː m WORD_BOUNDARY ð ə WORD_BOUNDARY ɹ ʊ ɹ ɹ ə l WORD_BOUNDARY ð ɪ WORD_BOUNDARY ɜː b ə n WORD_BOUNDARY w eɪ d̠ʒ ɪ z WORD_BOUNDARY ɹ aɪ t WORD_BOUNDARY ð æ t s WORD_BOUNDARY ɔ l WORD_BOUNDARY ð ɪ s WORD_BOUNDARY |
Why have you just discounted it to there? | w aɪ WORD_BOUNDARY h æ v WORD_BOUNDARY j uː WORD_BOUNDARY d̠ʒ ʌ s t WORD_BOUNDARY d ɪ s k aʊ n t ɪ d WORD_BOUNDARY ɪ t WORD_BOUNDARY t ə WORD_BOUNDARY ð ɛ ɹ WORD_BOUNDARY |
Sorry? | s ɑ ɹ i WORD_BOUNDARY |
Why have you discounted it to W R? | w aɪ WORD_BOUNDARY h æ v WORD_BOUNDARY j uː WORD_BOUNDARY d ɪ s k aʊ n t ɪ d WORD_BOUNDARY ɪ t WORD_BOUNDARY t ə WORD_BOUNDARY d ʌ b ə l j uː WORD_BOUNDARY ɑ ɹ WORD_BOUNDARY |
Well it's, well, er, there's no need why that should be the case, it could be, you know, it could look something like that. | w ɛ l WORD_BOUNDARY ɪ t s WORD_BOUNDARY w ɛ l WORD_BOUNDARY ɜː WORD_BOUNDARY ð ɛ ɹ z WORD_BOUNDARY n oʊ WORD_BOUNDARY n iː d WORD_BOUNDARY w aɪ WORD_BOUNDARY ð æ t WORD_BOUNDARY ʃ ʊ d WORD_BOUNDARY b iː WORD_BOUNDARY ð ə WORD_BOUNDARY k eɪ s WORD_BOUNDARY ɪ t WORD_BOUNDARY k ʊ d WORD_BOUNDARY b iː WORD_BOUNDARY j uː WORD_BOUNDARY n oʊ WORD_BOUNDARY ɪ t WORD_BOUNDARY k ʊ d WORD_BOUNDARY l ʊ k WORD_BOUNDARY s ʌ m θ ɪ ŋ WORD_BOUNDARY l aɪ k WORD_BOUNDARY ð æ t WORD_BOUNDARY |
But, up in the, there the migrant's decision making process will be, is this area here right, is that area there, greater than that area there. | b ʌ t WORD_BOUNDARY ʌ p WORD_BOUNDARY ɪ n ð ə WORD_BOUNDARY ð ɛ ɹ WORD_BOUNDARY ð ə WORD_BOUNDARY m aɪ ɡ ɹ ə n t s WORD_BOUNDARY d ɪ s ɪ ʒ ə n WORD_BOUNDARY m eɪ k ɪ ŋ WORD_BOUNDARY p ɹ ɑ s ɛ s WORD_BOUNDARY w ɪ l WORD_BOUNDARY b iː WORD_BOUNDARY ɪ z WORD_BOUNDARY ð ɪ s WORD_BOUNDARY ɛ ɹ iə WORD_BOUNDARY h ɪ ɹ WORD_BOUNDARY ɹ aɪ t WORD_BOUNDARY ɪ z WORD_BOUNDARY ð æ t WORD_BOUNDARY ɛ ɹ iə WORD_BOUNDARY ð ɛ ɹ WORD_BOUNDARY ɡ ɹ eɪ t ə ɹ WORD_BOUNDARY ð ʌ n WORD_BOUNDARY ð æ t WORD_BOUNDARY ɛ ɹ iə WORD_BOUNDARY ð ɛ ɹ WORD_BOUNDARY |
Alright, so this is the discounted sum in er, in non-agriculture, in the urban area, and this is the value, the discounted sum in agriculture. | ɔ l ɹ aɪ t WORD_BOUNDARY s oʊ WORD_BOUNDARY ð ɪ s WORD_BOUNDARY ɪ z WORD_BOUNDARY ð ə WORD_BOUNDARY d ɪ s k aʊ n t ɪ d WORD_BOUNDARY s ʌ m WORD_BOUNDARY ɪ n WORD_BOUNDARY ɜː ɹ WORD_BOUNDARY ɪ n WORD_BOUNDARY n ɑ n æ ɡ ɹ ɪ k ʌ l t̠ʃ ə ɹ ɹ WORD_BOUNDARY ɪ n ð ɪ WORD_BOUNDARY ɜː b ə n WORD_BOUNDARY ɛ ɹ iə WORD_BOUNDARY æ n d WORD_BOUNDARY ð ɪ s WORD_BOUNDARY ɪ z WORD_BOUNDARY ð ə WORD_BOUNDARY v æ l j uː WORD_BOUNDARY ð ə WORD_BOUNDARY d ɪ s k aʊ n t ɪ d WORD_BOUNDARY s ʌ m WORD_BOUNDARY ɪ n WORD_BOUNDARY æ ɡ ɹ ɪ k ʌ l t̠ʃ ə ɹ WORD_BOUNDARY |
Now, clearly on the, on the way I've drawn this diagram it is. | n aʊ WORD_BOUNDARY k l ɪ ɹ l i WORD_BOUNDARY ɔ n ð ɪ WORD_BOUNDARY ɔ n ð ə WORD_BOUNDARY w eɪ WORD_BOUNDARY aɪ v WORD_BOUNDARY d ɹ ɔ n WORD_BOUNDARY ð ɪ s WORD_BOUNDARY d aɪ ə ɡ ɹ æ m WORD_BOUNDARY ɪ t WORD_BOUNDARY ɪ z WORD_BOUNDARY |
Right, but that's going to depend on right, not only the wage differential, now if the wage differential is very large it's likely that this discounted sum is going to, you know, be larger than that. | ɹ aɪ t WORD_BOUNDARY b ʌ t WORD_BOUNDARY ð æ t s WORD_BOUNDARY ɡ oʊ ɪ ŋ WORD_BOUNDARY t ə WORD_BOUNDARY d ɪ p ɛ n d WORD_BOUNDARY ɔ n WORD_BOUNDARY ɹ aɪ t WORD_BOUNDARY n ɑ t WORD_BOUNDARY oʊ n l i WORD_BOUNDARY ð ə WORD_BOUNDARY w eɪ d̠ʒ WORD_BOUNDARY d ɪ f ə ɹ ɹ ɛ n ʃ ə l WORD_BOUNDARY n aʊ WORD_BOUNDARY ɪ f WORD_BOUNDARY ð ə WORD_BOUNDARY w eɪ d̠ʒ WORD_BOUNDARY d ɪ f ə ɹ ɹ ɛ n ʃ ə l WORD_BOUNDARY ɪ z WORD_BOUNDARY v ɛ ɹ i WORD_BOUNDARY l ɑ ɹ d̠ʒ WORD_BOUNDARY ɪ t s WORD_BOUNDARY l aɪ k l i WORD_BOUNDARY ð æ t WORD_BOUNDARY ð ɪ s WORD_BOUNDARY d ɪ s k aʊ n t ɪ d WORD_BOUNDARY s ʌ m WORD_BOUNDARY ɪ z WORD_BOUNDARY ɡ oʊ ɪ ŋ WORD_BOUNDARY t ə WORD_BOUNDARY j uː WORD_BOUNDARY n oʊ WORD_BOUNDARY b iː WORD_BOUNDARY l ɑ ɹ d̠ʒ ə ɹ WORD_BOUNDARY ð ʌ n WORD_BOUNDARY ð æ t WORD_BOUNDARY |
But it also depends on the time it takes to get the job. | b ʌ t WORD_BOUNDARY ɪ t WORD_BOUNDARY ɔ l s oʊ WORD_BOUNDARY d ɪ p ɛ n d z WORD_BOUNDARY ɔ n ð ə WORD_BOUNDARY t aɪ m WORD_BOUNDARY ɪ t WORD_BOUNDARY t eɪ k s WORD_BOUNDARY t ə WORD_BOUNDARY ɡ ɛ t WORD_BOUNDARY ð ə WORD_BOUNDARY d̠ʒ ɑ b WORD_BOUNDARY |
I mean if we got a job somewhere out here then it clearly wouldn't be. | aɪ WORD_BOUNDARY m iː n WORD_BOUNDARY ɪ f WORD_BOUNDARY w iː WORD_BOUNDARY ɡ ɑ t WORD_BOUNDARY ʌ WORD_BOUNDARY d̠ʒ ɑ b WORD_BOUNDARY s ʌ m w ɛ ɹ WORD_BOUNDARY aʊ t WORD_BOUNDARY h ɪ ɹ WORD_BOUNDARY ð ɛ n WORD_BOUNDARY ɪ t WORD_BOUNDARY k l ɪ ɹ l i WORD_BOUNDARY w ʊ d ə n t WORD_BOUNDARY b iː WORD_BOUNDARY |
So it's this, it's the time taken to get this erm, er, to get the job's going to be important. | s oʊ WORD_BOUNDARY ɪ t s WORD_BOUNDARY ð ɪ s WORD_BOUNDARY ɪ t s WORD_BOUNDARY ð ə WORD_BOUNDARY t aɪ m WORD_BOUNDARY t eɪ k ə n WORD_BOUNDARY t ə WORD_BOUNDARY ɡ ɛ t WORD_BOUNDARY ð ɪ s WORD_BOUNDARY ɜː m WORD_BOUNDARY ɜː WORD_BOUNDARY t ə WORD_BOUNDARY ɡ ɛ t WORD_BOUNDARY ð ə WORD_BOUNDARY d̠ʒ ɑ b z WORD_BOUNDARY ɡ oʊ ɪ ŋ WORD_BOUNDARY t ə b i WORD_BOUNDARY ɪ m p ɔ ɹ t ə n t WORD_BOUNDARY |
Now if we think of W U as being er, the expected value of the urban wage, and that equals the probability of getting a job, multiplied by the actual urban wages, alright then this probability of getting a job is going to be important as well. | n aʊ WORD_BOUNDARY ɪ f WORD_BOUNDARY w iː WORD_BOUNDARY θ ɪ ŋ k WORD_BOUNDARY ʌ v WORD_BOUNDARY d ʌ b ə l j uː WORD_BOUNDARY j uː WORD_BOUNDARY æ z WORD_BOUNDARY b iː ɪ ŋ WORD_BOUNDARY ɜː WORD_BOUNDARY ð ɪ WORD_BOUNDARY ɛ k s p ɛ k t ɪ d WORD_BOUNDARY v æ l j uː WORD_BOUNDARY ʌ v ð ɪ WORD_BOUNDARY ɜː b ə n WORD_BOUNDARY w eɪ d̠ʒ WORD_BOUNDARY æ n d WORD_BOUNDARY ð æ t WORD_BOUNDARY iː k w ə l z WORD_BOUNDARY ð ə WORD_BOUNDARY p ɹ ɑ b ə b ɪ l ɪ t i WORD_BOUNDARY ʌ v WORD_BOUNDARY ɡ ɛ t ɪ ŋ WORD_BOUNDARY ʌ WORD_BOUNDARY d̠ʒ ɑ b WORD_BOUNDARY m ʌ l t ɪ p l aɪ d WORD_BOUNDARY b aɪ WORD_BOUNDARY ð ɪ WORD_BOUNDARY æ k t̠ʃ uː ə l WORD_BOUNDARY ɜː b ə n WORD_BOUNDARY w eɪ d̠ʒ ɪ z WORD_BOUNDARY ɔ l ɹ aɪ t WORD_BOUNDARY ð ɛ n WORD_BOUNDARY ð ɪ s WORD_BOUNDARY p ɹ ɑ b ə b ɪ l ɪ t i WORD_BOUNDARY ʌ v WORD_BOUNDARY ɡ ɛ t ɪ ŋ WORD_BOUNDARY ʌ WORD_BOUNDARY d̠ʒ ɑ b WORD_BOUNDARY ɪ z WORD_BOUNDARY ɡ oʊ ɪ ŋ WORD_BOUNDARY t ə b i WORD_BOUNDARY ɪ m p ɔ ɹ t ə n t WORD_BOUNDARY æ z WORD_BOUNDARY w ɛ l WORD_BOUNDARY |
And that's it then, scruffy diagram, but what more have we got? | æ n d WORD_BOUNDARY ð æ t s ɪ t WORD_BOUNDARY ð ɛ n WORD_BOUNDARY s k ɹ ʌ f i WORD_BOUNDARY d aɪ ə ɡ ɹ æ m WORD_BOUNDARY b ʌ t WORD_BOUNDARY w ʌ t WORD_BOUNDARY m ɔ ɹ WORD_BOUNDARY h æ v WORD_BOUNDARY w iː WORD_BOUNDARY ɡ ɑ t WORD_BOUNDARY |
An urban wage, a rural wage, right, we discount those wages over time, right and that area there, shading the area in the blue sort of box, then this it's erm, it's going to be rational for this er, migrant, this person to become a migrant. | ʌ n WORD_BOUNDARY ɜː b ə n WORD_BOUNDARY w eɪ d̠ʒ WORD_BOUNDARY ʌ WORD_BOUNDARY ɹ ʊ ɹ ɹ ə l WORD_BOUNDARY w eɪ d̠ʒ WORD_BOUNDARY ɹ aɪ t WORD_BOUNDARY w iː WORD_BOUNDARY d ɪ s k aʊ n t WORD_BOUNDARY ð oʊ z WORD_BOUNDARY w eɪ d̠ʒ ɪ z WORD_BOUNDARY oʊ v ə ɹ WORD_BOUNDARY t aɪ m WORD_BOUNDARY ɹ aɪ t WORD_BOUNDARY æ n d WORD_BOUNDARY ð æ t WORD_BOUNDARY ɛ ɹ iə WORD_BOUNDARY ð ɛ ɹ WORD_BOUNDARY ʃ eɪ d ɪ ŋ WORD_BOUNDARY ð ɪ WORD_BOUNDARY ɛ ɹ iə WORD_BOUNDARY ɪ n ð ə WORD_BOUNDARY b l uː WORD_BOUNDARY s ɔ ɹ t WORD_BOUNDARY ʌ v WORD_BOUNDARY b ɑ k s WORD_BOUNDARY ð ɛ n WORD_BOUNDARY ð ɪ s WORD_BOUNDARY ɪ t s WORD_BOUNDARY ɜː m WORD_BOUNDARY ɪ t s WORD_BOUNDARY ɡ oʊ ɪ ŋ WORD_BOUNDARY t ə b i WORD_BOUNDARY ɹ æ ʃ ə n ə l WORD_BOUNDARY f ɔ ɹ WORD_BOUNDARY ð ɪ s WORD_BOUNDARY ɜː WORD_BOUNDARY m aɪ ɡ ɹ ə n t WORD_BOUNDARY ð ɪ s WORD_BOUNDARY p ɜː s ə n WORD_BOUNDARY t ə WORD_BOUNDARY b ɪ k ʌ m WORD_BOUNDARY ʌ WORD_BOUNDARY m aɪ ɡ ɹ ə n t WORD_BOUNDARY |
Even though, I mean this doesn't say anything about unemployment levels, levels of unemployment. | iː v ə n WORD_BOUNDARY ð oʊ WORD_BOUNDARY aɪ WORD_BOUNDARY m iː n WORD_BOUNDARY ð ɪ s WORD_BOUNDARY d ʌ z ə n t WORD_BOUNDARY s eɪ WORD_BOUNDARY ɛ n ɪ θ ɪ ŋ WORD_BOUNDARY ʌ b aʊ t WORD_BOUNDARY ʌ n ɛ m p l ɔɪ m ə n t WORD_BOUNDARY l ɛ v ə l z WORD_BOUNDARY l ɛ v ə l z WORD_BOUNDARY ʌ v WORD_BOUNDARY ʌ n ɛ m p l ɔɪ m ə n t WORD_BOUNDARY |
Unem the level of unemployment is subsumed between, well, within the time it takes to get a job, and also the probability of, of getting a job. | ʌ n ɛ m WORD_BOUNDARY ð ə WORD_BOUNDARY l ɛ v ə l WORD_BOUNDARY ʌ v WORD_BOUNDARY ʌ n ɛ m p l ɔɪ m ə n t WORD_BOUNDARY ɪ z WORD_BOUNDARY s ʌ b s uː m d WORD_BOUNDARY b ɪ t w iː n WORD_BOUNDARY w ɛ l WORD_BOUNDARY w ɪ ð ɪ n WORD_BOUNDARY ð ə WORD_BOUNDARY t aɪ m WORD_BOUNDARY ɪ t WORD_BOUNDARY t eɪ k s WORD_BOUNDARY t ə WORD_BOUNDARY ɡ ɛ t WORD_BOUNDARY ʌ WORD_BOUNDARY d̠ʒ ɑ b WORD_BOUNDARY æ n d WORD_BOUNDARY ɔ l s oʊ WORD_BOUNDARY ð ə WORD_BOUNDARY p ɹ ɑ b ə b ɪ l ɪ t i WORD_BOUNDARY ʌ v WORD_BOUNDARY ʌ v WORD_BOUNDARY ɡ ɛ t ɪ ŋ WORD_BOUNDARY ʌ WORD_BOUNDARY d̠ʒ ɑ b WORD_BOUNDARY |
Alright. | ɔ l ɹ aɪ t WORD_BOUNDARY |
So this sort of, even that's just what the Harrison model erm, tells us, right, so that's, unemployment rates are, are virtually erm, unimportant in the migrant's decision. | s oʊ WORD_BOUNDARY ð ɪ s WORD_BOUNDARY s ɔ ɹ t WORD_BOUNDARY ʌ v WORD_BOUNDARY iː v ə n WORD_BOUNDARY ð æ t s WORD_BOUNDARY d̠ʒ ʌ s t WORD_BOUNDARY w ʌ t WORD_BOUNDARY ð ə WORD_BOUNDARY h æ ɹ ɪ s ə n WORD_BOUNDARY m ɑ d ə l WORD_BOUNDARY ɜː m WORD_BOUNDARY t ɛ l z WORD_BOUNDARY ʌ s WORD_BOUNDARY ɹ aɪ t WORD_BOUNDARY s oʊ WORD_BOUNDARY ð æ t s WORD_BOUNDARY ʌ n ɛ m p l ɔɪ m ə n t WORD_BOUNDARY ɹ eɪ t s WORD_BOUNDARY ɑ ɹ WORD_BOUNDARY ɑ ɹ WORD_BOUNDARY v ɜː t̠ʃ uː ə l i WORD_BOUNDARY ɜː m WORD_BOUNDARY ʌ n ɪ m p ɔ ɹ t ə n t WORD_BOUNDARY ɪ n ð ə WORD_BOUNDARY m aɪ ɡ ɹ ə n t s WORD_BOUNDARY d ɪ s ɪ ʒ ə n WORD_BOUNDARY |
Unemployment rates now, it's because they may well be, if they're acting rationally, discount over a very large, long period of time. | ʌ n ɛ m p l ɔɪ m ə n t WORD_BOUNDARY ɹ eɪ t s WORD_BOUNDARY n aʊ WORD_BOUNDARY ɪ t s WORD_BOUNDARY b ɪ k ʌ z WORD_BOUNDARY ð eɪ WORD_BOUNDARY m eɪ WORD_BOUNDARY w ɛ l WORD_BOUNDARY b iː WORD_BOUNDARY ɪ f WORD_BOUNDARY ð eɪ ə ɹ ɹ WORD_BOUNDARY æ k t ɪ ŋ WORD_BOUNDARY ɹ æ ʃ ə n ə l i WORD_BOUNDARY d ɪ s k aʊ n t WORD_BOUNDARY oʊ v ə ɹ ɹ WORD_BOUNDARY ʌ WORD_BOUNDARY v ɛ ɹ i WORD_BOUNDARY l ɑ ɹ d̠ʒ WORD_BOUNDARY l ɔ ŋ WORD_BOUNDARY p iə ɹ ɪ ə d WORD_BOUNDARY ʌ v WORD_BOUNDARY t aɪ m WORD_BOUNDARY |
Okay just er, just to ask, is this erm, migration, it, does it cause a problem? | oʊ k eɪ WORD_BOUNDARY d̠ʒ ʌ s t WORD_BOUNDARY ɜː WORD_BOUNDARY d̠ʒ ʌ s t WORD_BOUNDARY t ʊ WORD_BOUNDARY æ s k WORD_BOUNDARY ɪ z WORD_BOUNDARY ð ɪ s WORD_BOUNDARY ɜː m WORD_BOUNDARY m aɪ ɡ ɹ eɪ ʃ ə n WORD_BOUNDARY ɪ t WORD_BOUNDARY d ʌ z WORD_BOUNDARY ɪ t WORD_BOUNDARY k ɔ z WORD_BOUNDARY ʌ WORD_BOUNDARY p ɹ ɑ b l ə m WORD_BOUNDARY |
I mean I thought that migration was the er, would be the cure of all ills, in that, you know, we've got wage differentials here in this, in this hypothetical economy. | aɪ WORD_BOUNDARY m iː n WORD_BOUNDARY aɪ WORD_BOUNDARY θ ɔ t WORD_BOUNDARY ð æ t WORD_BOUNDARY m aɪ ɡ ɹ eɪ ʃ ə n WORD_BOUNDARY w ʌ z ð ɪ WORD_BOUNDARY ɜː WORD_BOUNDARY w ʊ d WORD_BOUNDARY b iː WORD_BOUNDARY ð ə WORD_BOUNDARY k j ʊ ɹ WORD_BOUNDARY ʌ v WORD_BOUNDARY ɔ l WORD_BOUNDARY ɪ l z WORD_BOUNDARY ɪ n WORD_BOUNDARY ð æ t WORD_BOUNDARY j uː WORD_BOUNDARY n oʊ WORD_BOUNDARY w iː v WORD_BOUNDARY ɡ ɑ t WORD_BOUNDARY w eɪ d̠ʒ WORD_BOUNDARY d ɪ f ə ɹ ɹ ɛ n ʃ ə l z WORD_BOUNDARY h ɪ ɹ WORD_BOUNDARY ɪ n WORD_BOUNDARY ð ɪ s WORD_BOUNDARY ɪ n WORD_BOUNDARY ð ɪ s WORD_BOUNDARY h aɪ p ə θ ɛ t ɪ k ə l WORD_BOUNDARY ɪ k ɑ n ə m i WORD_BOUNDARY |
Surely if you migrate that increases the supply of labour, it reduces the supply of labour in the rural sector, it increases the supply of labour in er, the urban sector, unless wage, wage rates should equalize? | ʃ ʊ ɹ l i WORD_BOUNDARY ɪ f WORD_BOUNDARY j uː WORD_BOUNDARY m aɪ ɡ ɹ eɪ t WORD_BOUNDARY ð æ t WORD_BOUNDARY ɪ ŋ k ɹ iː s ɪ z WORD_BOUNDARY ð ə WORD_BOUNDARY s ə p l aɪ WORD_BOUNDARY ʌ v WORD_BOUNDARY l eɪ b ə ɹ ɹ WORD_BOUNDARY ɪ t WORD_BOUNDARY ɹ ɪ d uː s ɪ z WORD_BOUNDARY ð ə WORD_BOUNDARY s ə p l aɪ WORD_BOUNDARY ʌ v WORD_BOUNDARY l eɪ b ə ɹ ɹ WORD_BOUNDARY ɪ n ð ə WORD_BOUNDARY ɹ ʊ ɹ ɹ ə l WORD_BOUNDARY s ɛ k t ə ɹ ɹ WORD_BOUNDARY ɪ t WORD_BOUNDARY ɪ ŋ k ɹ iː s ɪ z WORD_BOUNDARY ð ə WORD_BOUNDARY s ə p l aɪ WORD_BOUNDARY ʌ v WORD_BOUNDARY l eɪ b ə ɹ ɹ WORD_BOUNDARY ɪ n WORD_BOUNDARY ɜː WORD_BOUNDARY ð ɪ WORD_BOUNDARY ɜː b ə n WORD_BOUNDARY s ɛ k t ə ɹ ɹ WORD_BOUNDARY ʌ n l ɛ s WORD_BOUNDARY w eɪ d̠ʒ WORD_BOUNDARY w eɪ d̠ʒ WORD_BOUNDARY ɹ eɪ t s WORD_BOUNDARY ʃ ʊ d WORD_BOUNDARY iː k w ə l aɪ z WORD_BOUNDARY |
No. | n oʊ WORD_BOUNDARY |
What, what, why don't, why doesn't, why don't wage rates equalize? | w ʌ t WORD_BOUNDARY w ʌ t WORD_BOUNDARY w aɪ WORD_BOUNDARY d oʊ n t WORD_BOUNDARY w aɪ WORD_BOUNDARY d ʌ z ə n t WORD_BOUNDARY w aɪ WORD_BOUNDARY d oʊ n t WORD_BOUNDARY w eɪ d̠ʒ WORD_BOUNDARY ɹ eɪ t s WORD_BOUNDARY iː k w ə l aɪ z WORD_BOUNDARY |
Because erm, the urban sector is normally considered to be capital intensive a sector, and the rural area in L D Cs are considered more labour intensive, and so erm, obviously when you get an influx of labour, and changes to the capital to labour ratio | b ɪ k ʌ z WORD_BOUNDARY ɜː m WORD_BOUNDARY ð ɪ WORD_BOUNDARY ɜː b ə n WORD_BOUNDARY s ɛ k t ə ɹ ɹ WORD_BOUNDARY ɪ z WORD_BOUNDARY n ɔ ɹ m ə l i WORD_BOUNDARY k ə n s ɪ d ə ɹ d WORD_BOUNDARY t ə b i WORD_BOUNDARY k æ p ɪ t ə l WORD_BOUNDARY ɪ n t ɛ n s ɪ v WORD_BOUNDARY ʌ WORD_BOUNDARY s ɛ k t ə ɹ WORD_BOUNDARY æ n d WORD_BOUNDARY ð ə WORD_BOUNDARY ɹ ʊ ɹ ɹ ə l WORD_BOUNDARY ɛ ɹ iə WORD_BOUNDARY ɪ n WORD_BOUNDARY ɛ l WORD_BOUNDARY d iː WORD_BOUNDARY s iː ɛ s WORD_BOUNDARY ɑ ɹ WORD_BOUNDARY k ə n s ɪ d ə ɹ d WORD_BOUNDARY m ɔ ɹ WORD_BOUNDARY l eɪ b ə ɹ ɹ WORD_BOUNDARY ɪ n t ɛ n s ɪ v WORD_BOUNDARY æ n d WORD_BOUNDARY s oʊ WORD_BOUNDARY ɜː m WORD_BOUNDARY ɑ b v iə s l i WORD_BOUNDARY w ɛ n WORD_BOUNDARY j uː WORD_BOUNDARY ɡ ɛ t WORD_BOUNDARY ʌ n WORD_BOUNDARY ɪ n f l ʌ k s WORD_BOUNDARY ʌ v WORD_BOUNDARY l eɪ b ə ɹ WORD_BOUNDARY æ n d WORD_BOUNDARY t̠ʃ eɪ n d̠ʒ ɪ z WORD_BOUNDARY t ə WORD_BOUNDARY ð ə WORD_BOUNDARY k æ p ɪ t ə l WORD_BOUNDARY t ə WORD_BOUNDARY l eɪ b ə ɹ WORD_BOUNDARY ɹ eɪ ʃ ɪ oʊ WORD_BOUNDARY |
Mhm | ɛ m eɪ t̠ʃ ɛ m WORD_BOUNDARY |
erm, and you would see er, a shift in capital to, to agriculture as the return on capital in urban falls, | ɜː m WORD_BOUNDARY æ n d WORD_BOUNDARY j uː WORD_BOUNDARY w ʊ d WORD_BOUNDARY s iː WORD_BOUNDARY ɜː ɹ WORD_BOUNDARY ʌ WORD_BOUNDARY ʃ ɪ f t WORD_BOUNDARY ɪ n WORD_BOUNDARY k æ p ɪ t ə l WORD_BOUNDARY t ʊ t ʊ WORD_BOUNDARY æ ɡ ɹ ɪ k ʌ l t̠ʃ ə ɹ ɹ WORD_BOUNDARY æ z WORD_BOUNDARY ð ə WORD_BOUNDARY ɹ ɪ t ɜː n WORD_BOUNDARY ɔ n WORD_BOUNDARY k æ p ɪ t ə l WORD_BOUNDARY ɪ n WORD_BOUNDARY ɜː b ə n WORD_BOUNDARY f ɔ l z WORD_BOUNDARY |
mhm | ɛ m eɪ t̠ʃ ɛ m WORD_BOUNDARY |
and this would, you would think, because there's a shift back of capital to agriculture you'd get a rise in agricultural wage rates because that changes the capital to labour ratio again and so this would counteract the movement. | æ n d WORD_BOUNDARY ð ɪ s WORD_BOUNDARY w ʊ d WORD_BOUNDARY j uː WORD_BOUNDARY w ʊ d WORD_BOUNDARY θ ɪ ŋ k WORD_BOUNDARY b ɪ k ʌ z WORD_BOUNDARY ð ɛ ɹ z WORD_BOUNDARY ʌ WORD_BOUNDARY ʃ ɪ f t WORD_BOUNDARY b æ k WORD_BOUNDARY ʌ v WORD_BOUNDARY k æ p ɪ t ə l WORD_BOUNDARY t ʊ WORD_BOUNDARY æ ɡ ɹ ɪ k ʌ l t̠ʃ ə ɹ WORD_BOUNDARY j uː d WORD_BOUNDARY ɡ ɛ t WORD_BOUNDARY ʌ WORD_BOUNDARY ɹ aɪ z WORD_BOUNDARY ɪ n WORD_BOUNDARY æ ɡ ɹ ɪ k ʌ l t̠ʃ ə ɹ ɹ ə l WORD_BOUNDARY w eɪ d̠ʒ WORD_BOUNDARY ɹ eɪ t s WORD_BOUNDARY b ɪ k ʌ z WORD_BOUNDARY ð æ t WORD_BOUNDARY t̠ʃ eɪ n d̠ʒ ɪ z WORD_BOUNDARY ð ə WORD_BOUNDARY k æ p ɪ t ə l WORD_BOUNDARY t ə WORD_BOUNDARY l eɪ b ə ɹ WORD_BOUNDARY ɹ eɪ ʃ ɪ oʊ WORD_BOUNDARY ʌ ɡ ɛ n WORD_BOUNDARY æ n d WORD_BOUNDARY s oʊ WORD_BOUNDARY ð ɪ s WORD_BOUNDARY w ʊ d WORD_BOUNDARY k aʊ n t ə ɹ ɹ æ k t WORD_BOUNDARY ð ə WORD_BOUNDARY m uː v m ə n t WORD_BOUNDARY |
However, there is a problem, capital is not perfectly mobile, like you can apply a new machine into, well maybe you could cos that's. | h aʊ ɛ v ə ɹ WORD_BOUNDARY ð ɛ ɹ WORD_BOUNDARY ɪ z WORD_BOUNDARY ʌ WORD_BOUNDARY p ɹ ɑ b l ə m WORD_BOUNDARY k æ p ɪ t ə l WORD_BOUNDARY ɪ z WORD_BOUNDARY n ɑ t WORD_BOUNDARY p ɜː f ɛ k t l i WORD_BOUNDARY m oʊ b ə l WORD_BOUNDARY l aɪ k WORD_BOUNDARY j uː WORD_BOUNDARY k æ n WORD_BOUNDARY ʌ p l aɪ WORD_BOUNDARY ʌ WORD_BOUNDARY n uː WORD_BOUNDARY m ə ʃ iː n WORD_BOUNDARY ɪ n t ʊ WORD_BOUNDARY w ɛ l WORD_BOUNDARY m eɪ b iː WORD_BOUNDARY j uː WORD_BOUNDARY k ʊ d WORD_BOUNDARY k ɑ s WORD_BOUNDARY ð æ t s WORD_BOUNDARY |
Whatever, you can't apply the urban type of capital back onto the land, so it's okay to say this would work if capital was completely and perfectly mobile, but it isn't so, you don't get that and you don't get balanced growth of that. | w ʌ t ɛ v ə ɹ WORD_BOUNDARY j uː WORD_BOUNDARY k æ n t WORD_BOUNDARY ʌ p l aɪ WORD_BOUNDARY ð ɪ WORD_BOUNDARY ɜː b ə n WORD_BOUNDARY t aɪ p WORD_BOUNDARY ʌ v WORD_BOUNDARY k æ p ɪ t ə l WORD_BOUNDARY b æ k WORD_BOUNDARY ɑ n t ʊ WORD_BOUNDARY ð ə WORD_BOUNDARY l æ n d WORD_BOUNDARY s oʊ WORD_BOUNDARY ɪ t s WORD_BOUNDARY oʊ k eɪ WORD_BOUNDARY t ə WORD_BOUNDARY s eɪ WORD_BOUNDARY ð ɪ s WORD_BOUNDARY w ʊ d WORD_BOUNDARY w ɜː k WORD_BOUNDARY ɪ f WORD_BOUNDARY k æ p ɪ t ə l WORD_BOUNDARY w ʌ z WORD_BOUNDARY k ə m p l iː t l i WORD_BOUNDARY æ n d WORD_BOUNDARY p ɜː f ɛ k t l i WORD_BOUNDARY m oʊ b ə l WORD_BOUNDARY b ʌ t WORD_BOUNDARY ɪ t WORD_BOUNDARY ɪ z ə n t WORD_BOUNDARY s oʊ WORD_BOUNDARY j uː WORD_BOUNDARY d oʊ n t WORD_BOUNDARY ɡ ɛ t WORD_BOUNDARY ð æ t WORD_BOUNDARY æ n d WORD_BOUNDARY j uː WORD_BOUNDARY d oʊ n t WORD_BOUNDARY ɡ ɛ t WORD_BOUNDARY b æ l ə n s t WORD_BOUNDARY ɡ ɹ oʊ θ WORD_BOUNDARY ʌ v WORD_BOUNDARY ð æ t WORD_BOUNDARY |
Because er, everything shifts in the wrong direction. | b ɪ k ʌ z WORD_BOUNDARY ɜː ɹ WORD_BOUNDARY ɛ v ɹ ɪ θ ɪ ŋ WORD_BOUNDARY ʃ ɪ f t s WORD_BOUNDARY ɪ n ð ə WORD_BOUNDARY ɹ ɔ ŋ WORD_BOUNDARY d ɪ ɹ ɛ k ʃ ə n WORD_BOUNDARY |
That's right, I mean, in order to eq equalize wages between sector, labour and also capital has to be perfectly mobile. | ð æ t s WORD_BOUNDARY ɹ aɪ t WORD_BOUNDARY aɪ WORD_BOUNDARY m iː n WORD_BOUNDARY ɪ n WORD_BOUNDARY ɔ ɹ d ə ɹ WORD_BOUNDARY t ʊ WORD_BOUNDARY ɛ k WORD_BOUNDARY iː k w ə l aɪ z WORD_BOUNDARY w eɪ d̠ʒ ɪ z WORD_BOUNDARY b ɪ t w iː n WORD_BOUNDARY s ɛ k t ə ɹ WORD_BOUNDARY l eɪ b ə ɹ WORD_BOUNDARY æ n d WORD_BOUNDARY ɔ l s oʊ WORD_BOUNDARY k æ p ɪ t ə l WORD_BOUNDARY h ʌ z WORD_BOUNDARY t ə b i WORD_BOUNDARY p ɜː f ɛ k t l i WORD_BOUNDARY m oʊ b ə l WORD_BOUNDARY |
Now, if it's not, we know that labour isn't, isn't perfectly mobile, it appeared, migration would seem to suggest it's, it's pretty mobile geographically, but it may not be particularly mobile occupationally. | n aʊ WORD_BOUNDARY ɪ f WORD_BOUNDARY ɪ t s WORD_BOUNDARY n ɑ t WORD_BOUNDARY w iː WORD_BOUNDARY n oʊ WORD_BOUNDARY ð æ t WORD_BOUNDARY l eɪ b ə ɹ ɹ WORD_BOUNDARY ɪ z ə n t WORD_BOUNDARY ɪ z ə n t WORD_BOUNDARY p ɜː f ɛ k t l i WORD_BOUNDARY m oʊ b ə l WORD_BOUNDARY ɪ t WORD_BOUNDARY ʌ p ɪ ɹ d WORD_BOUNDARY m aɪ ɡ ɹ eɪ ʃ ə n WORD_BOUNDARY w ʊ d WORD_BOUNDARY s iː m WORD_BOUNDARY t ə WORD_BOUNDARY s ə d̠ʒ ɛ s t WORD_BOUNDARY ɪ t s WORD_BOUNDARY ɪ t s WORD_BOUNDARY p ɹ ɪ t i WORD_BOUNDARY m oʊ b ə l WORD_BOUNDARY d̠ʒ ɪ ə ɡ ɹ æ f ɪ k l i WORD_BOUNDARY b ʌ t WORD_BOUNDARY ɪ t WORD_BOUNDARY m eɪ WORD_BOUNDARY n ɑ t WORD_BOUNDARY b iː WORD_BOUNDARY p ə ɹ t ɪ k j ʊ l ə ɹ l i WORD_BOUNDARY m oʊ b ə l WORD_BOUNDARY ɑ k j ʊ p eɪ ʃ ə n ə l i WORD_BOUNDARY |
So that these people go to the urban areas to get the jobs, they're not trained erm, for these jobs right and as a result, these wages rates still, may still be maintained despite the fact there are lots of people who are quite happy to take wages erm, in, take up jobs in the urban sectors, it's the fact that sort of, employers don't want them, because they don't have the requisite skills. | s oʊ WORD_BOUNDARY ð æ t WORD_BOUNDARY ð iː z WORD_BOUNDARY p iː p ə l WORD_BOUNDARY ɡ oʊ WORD_BOUNDARY t ə WORD_BOUNDARY ð ɪ WORD_BOUNDARY ɜː b ə n WORD_BOUNDARY ɛ ɹ iə z WORD_BOUNDARY t ə WORD_BOUNDARY ɡ ɛ t WORD_BOUNDARY ð ə WORD_BOUNDARY d̠ʒ ɑ b z WORD_BOUNDARY ð eɪ ə ɹ WORD_BOUNDARY n ɑ t WORD_BOUNDARY t ɹ eɪ n d WORD_BOUNDARY ɜː m WORD_BOUNDARY f ɔ ɹ WORD_BOUNDARY ð iː z WORD_BOUNDARY d̠ʒ ɑ b z WORD_BOUNDARY ɹ aɪ t WORD_BOUNDARY æ n d WORD_BOUNDARY æ z WORD_BOUNDARY ʌ WORD_BOUNDARY ɹ ɪ z ʌ l t WORD_BOUNDARY ð iː z WORD_BOUNDARY w eɪ d̠ʒ ɪ z WORD_BOUNDARY ɹ eɪ t s WORD_BOUNDARY s t ɪ l WORD_BOUNDARY m eɪ WORD_BOUNDARY s t ɪ l WORD_BOUNDARY b iː WORD_BOUNDARY m eɪ n t eɪ n d WORD_BOUNDARY d ɪ s p aɪ t WORD_BOUNDARY ð ə WORD_BOUNDARY f æ k t WORD_BOUNDARY ð ɛ ɹ ɑ ɹ WORD_BOUNDARY l ɑ t s WORD_BOUNDARY ʌ v WORD_BOUNDARY p iː p ə l WORD_BOUNDARY h uː WORD_BOUNDARY ɑ ɹ WORD_BOUNDARY k w aɪ t WORD_BOUNDARY h æ p i WORD_BOUNDARY t ə WORD_BOUNDARY t eɪ k WORD_BOUNDARY w eɪ d̠ʒ ɪ z WORD_BOUNDARY ɜː m WORD_BOUNDARY ɪ n WORD_BOUNDARY t eɪ k WORD_BOUNDARY ʌ p WORD_BOUNDARY d̠ʒ ɑ b z WORD_BOUNDARY ɪ n ð ɪ WORD_BOUNDARY ɜː b ə n WORD_BOUNDARY s ɛ k t ə ɹ z WORD_BOUNDARY ɪ t s WORD_BOUNDARY ð ə WORD_BOUNDARY f æ k t WORD_BOUNDARY ð æ t WORD_BOUNDARY s ɔ ɹ t WORD_BOUNDARY ʌ v WORD_BOUNDARY ɛ m p l ɔɪ ə ɹ z WORD_BOUNDARY d oʊ n t WORD_BOUNDARY w ɔ n t WORD_BOUNDARY ð ɛ m WORD_BOUNDARY b ɪ k ʌ z WORD_BOUNDARY ð eɪ WORD_BOUNDARY d oʊ n t WORD_BOUNDARY h æ v WORD_BOUNDARY ð ə WORD_BOUNDARY ɹ ɛ k w ɪ s ɪ t WORD_BOUNDARY s k ɪ l z WORD_BOUNDARY |
Also, where, what are the erm, what're the highest paid jobs in the urban sector? | ɔ l s oʊ WORD_BOUNDARY w ɛ ɹ WORD_BOUNDARY w ʌ t WORD_BOUNDARY ɑ ɹ WORD_BOUNDARY ð ɪ WORD_BOUNDARY ɜː m WORD_BOUNDARY w ʌ t ə ɹ WORD_BOUNDARY ð ə WORD_BOUNDARY h aɪ ɪ s t WORD_BOUNDARY p eɪ d WORD_BOUNDARY d̠ʒ ɑ b z WORD_BOUNDARY ɪ n ð ɪ WORD_BOUNDARY ɜː b ə n WORD_BOUNDARY s ɛ k t ə ɹ WORD_BOUNDARY |
They are essentially in developing countries. | ð eɪ WORD_BOUNDARY ɑ ɹ WORD_BOUNDARY ɪ s ɛ n ʃ ə l i WORD_BOUNDARY ɪ n WORD_BOUNDARY d ɪ v ɛ l ə p ɪ ŋ WORD_BOUNDARY k ʌ n t ɹ i z WORD_BOUNDARY |
They are essentially government jobs. | ð eɪ WORD_BOUNDARY ɑ ɹ WORD_BOUNDARY ɪ s ɛ n ʃ ə l i WORD_BOUNDARY ɡ ʌ v ə ɹ n m ə n t WORD_BOUNDARY d̠ʒ ɑ b z WORD_BOUNDARY |
Right. | ɹ aɪ t WORD_BOUNDARY |
Now, er, without wishing to generalize too much, bribery, corruption, you know, it's not what you know, it's who you know, are very important factors in er, in employment in developing countries. | n aʊ WORD_BOUNDARY ɜː WORD_BOUNDARY w ɪ ð aʊ t WORD_BOUNDARY w ɪ ʃ ɪ ŋ WORD_BOUNDARY t ə WORD_BOUNDARY d̠ʒ ɛ n ə ɹ ɹ ə l aɪ z WORD_BOUNDARY t uː WORD_BOUNDARY m ʌ t̠ʃ WORD_BOUNDARY b ɹ aɪ b ə ɹ ɹ i WORD_BOUNDARY k ə ɹ ɹ ʌ p ʃ ə n WORD_BOUNDARY j uː WORD_BOUNDARY n oʊ WORD_BOUNDARY ɪ t s WORD_BOUNDARY n ɑ t WORD_BOUNDARY w ʌ t WORD_BOUNDARY j uː WORD_BOUNDARY n oʊ WORD_BOUNDARY ɪ t s WORD_BOUNDARY h uː WORD_BOUNDARY j uː WORD_BOUNDARY n oʊ WORD_BOUNDARY ɑ ɹ WORD_BOUNDARY v ɛ ɹ i WORD_BOUNDARY ɪ m p ɔ ɹ t ə n t WORD_BOUNDARY f æ k t ə ɹ z WORD_BOUNDARY ɪ n WORD_BOUNDARY ɜː ɹ WORD_BOUNDARY ɪ n WORD_BOUNDARY ɛ m p l ɔɪ m ə n t WORD_BOUNDARY ɪ n WORD_BOUNDARY d ɪ v ɛ l ə p ɪ ŋ WORD_BOUNDARY k ʌ n t ɹ i z WORD_BOUNDARY |
And as a result they are | æ n d WORD_BOUNDARY æ z WORD_BOUNDARY ʌ WORD_BOUNDARY ɹ ɪ z ʌ l t WORD_BOUNDARY ð eɪ WORD_BOUNDARY ɑ ɹ WORD_BOUNDARY |
It's much nicer to say patronage, you promise to say patronage. | ɪ t s WORD_BOUNDARY m ʌ t̠ʃ WORD_BOUNDARY n aɪ s ə ɹ WORD_BOUNDARY t ə WORD_BOUNDARY s eɪ WORD_BOUNDARY p æ t ɹ ə n ɪ d̠ʒ WORD_BOUNDARY j uː WORD_BOUNDARY p ɹ ɑ m ɪ s WORD_BOUNDARY t ə WORD_BOUNDARY s eɪ WORD_BOUNDARY p æ t ɹ ə n ɪ d̠ʒ WORD_BOUNDARY |
Ah, patronage, okay, that's er, a nice euphemism to see the | ɑ WORD_BOUNDARY p æ t ɹ ə n ɪ d̠ʒ WORD_BOUNDARY oʊ k eɪ WORD_BOUNDARY ð æ t s WORD_BOUNDARY ɜː ɹ WORD_BOUNDARY ʌ WORD_BOUNDARY n aɪ s WORD_BOUNDARY j uː f ə m ɪ z ə m WORD_BOUNDARY t ə WORD_BOUNDARY s iː WORD_BOUNDARY ð ə WORD_BOUNDARY |
Then you don't like slander people. | ð ɛ n WORD_BOUNDARY j uː WORD_BOUNDARY d oʊ n t WORD_BOUNDARY l aɪ k WORD_BOUNDARY s l æ n d ə ɹ WORD_BOUNDARY p iː p ə l WORD_BOUNDARY |
That's right, in that erm, you're, the probability of you getting a well paid job is greatly enhanced, if not guaranteed if you know er, the people who are employing you. | ð æ t s WORD_BOUNDARY ɹ aɪ t WORD_BOUNDARY ɪ n WORD_BOUNDARY ð æ t WORD_BOUNDARY ɜː m WORD_BOUNDARY j ʊ ɹ WORD_BOUNDARY ð ə WORD_BOUNDARY p ɹ ɑ b ə b ɪ l ɪ t i WORD_BOUNDARY ʌ v WORD_BOUNDARY j uː WORD_BOUNDARY ɡ ɛ t ɪ ŋ WORD_BOUNDARY ʌ WORD_BOUNDARY w ɛ l WORD_BOUNDARY p eɪ d WORD_BOUNDARY d̠ʒ ɑ b WORD_BOUNDARY ɪ z WORD_BOUNDARY ɡ ɹ eɪ t l i WORD_BOUNDARY ɛ n h æ n s t WORD_BOUNDARY ɪ f WORD_BOUNDARY n ɑ t WORD_BOUNDARY ɡ æ ɹ ə n t iː d WORD_BOUNDARY ɪ f WORD_BOUNDARY j uː WORD_BOUNDARY n oʊ WORD_BOUNDARY ɜː WORD_BOUNDARY ð ə WORD_BOUNDARY p iː p ə l WORD_BOUNDARY h uː WORD_BOUNDARY ɑ ɹ WORD_BOUNDARY ɛ m p l ɔɪ ɪ ŋ WORD_BOUNDARY j uː WORD_BOUNDARY |
And this sort of thing goes, is, is rife in developing countries. | æ n d WORD_BOUNDARY ð ɪ s WORD_BOUNDARY s ɔ ɹ t WORD_BOUNDARY ʌ v WORD_BOUNDARY θ ɪ ŋ WORD_BOUNDARY ɡ oʊ z WORD_BOUNDARY ɪ z WORD_BOUNDARY ɪ z WORD_BOUNDARY ɹ aɪ f WORD_BOUNDARY ɪ n WORD_BOUNDARY d ɪ v ɛ l ə p ɪ ŋ WORD_BOUNDARY k ʌ n t ɹ i z WORD_BOUNDARY |
I mean the old boy network is pretty bad in this country, but er, it's similar sorts of things go on in developing countries, and because there's much less of an industrial sector there, the government sector itself, erm, plays a very important role in, in employment. | aɪ WORD_BOUNDARY m iː n WORD_BOUNDARY ð ɪ WORD_BOUNDARY oʊ l d WORD_BOUNDARY b ɔɪ WORD_BOUNDARY n ɛ t w ɜː k WORD_BOUNDARY ɪ z WORD_BOUNDARY p ɹ ɪ t i WORD_BOUNDARY b æ d WORD_BOUNDARY ɪ n WORD_BOUNDARY ð ɪ s WORD_BOUNDARY k ʌ n t ɹ i WORD_BOUNDARY b ʌ t WORD_BOUNDARY ɜː ɹ WORD_BOUNDARY ɪ t s WORD_BOUNDARY s ɪ m ɪ l ə ɹ WORD_BOUNDARY s ɔ ɹ t s WORD_BOUNDARY ʌ v WORD_BOUNDARY θ ɪ ŋ z WORD_BOUNDARY ɡ oʊ WORD_BOUNDARY ɔ n WORD_BOUNDARY ɪ n WORD_BOUNDARY d ɪ v ɛ l ə p ɪ ŋ WORD_BOUNDARY k ʌ n t ɹ i z WORD_BOUNDARY æ n d WORD_BOUNDARY b ɪ k ʌ z WORD_BOUNDARY ð ɛ ɹ z WORD_BOUNDARY m ʌ t̠ʃ WORD_BOUNDARY l ɛ s WORD_BOUNDARY ə v ə n WORD_BOUNDARY ɪ n d ʌ s t ɹ ɪ ə l WORD_BOUNDARY s ɛ k t ə ɹ WORD_BOUNDARY ð ɛ ɹ WORD_BOUNDARY ð ə WORD_BOUNDARY ɡ ʌ v ə ɹ n m ə n t WORD_BOUNDARY s ɛ k t ə ɹ ɹ WORD_BOUNDARY ɪ t s ɛ l f WORD_BOUNDARY ɜː m WORD_BOUNDARY p l eɪ z WORD_BOUNDARY ʌ WORD_BOUNDARY v ɛ ɹ i WORD_BOUNDARY ɪ m p ɔ ɹ t ə n t WORD_BOUNDARY ɹ oʊ l WORD_BOUNDARY ɪ n WORD_BOUNDARY ɪ n WORD_BOUNDARY ɛ m p l ɔɪ m ə n t WORD_BOUNDARY |
Now, was it you Lyn who had some statistics some saying er, what proportion | n aʊ WORD_BOUNDARY w ʌ z WORD_BOUNDARY ɪ t WORD_BOUNDARY j uː WORD_BOUNDARY l ɪ n WORD_BOUNDARY h uː WORD_BOUNDARY h æ d WORD_BOUNDARY s ʌ m WORD_BOUNDARY s t ʌ t ɪ s t ɪ k s WORD_BOUNDARY s ʌ m WORD_BOUNDARY s eɪ ɪ ŋ WORD_BOUNDARY ɜː WORD_BOUNDARY w ʌ t WORD_BOUNDARY p ɹ ə p ɔ ɹ ʃ ə n WORD_BOUNDARY |
Fine I've got,I've got to use stat statistics to | f aɪ n WORD_BOUNDARY aɪ v WORD_BOUNDARY ɡ ɑ t WORD_BOUNDARY aɪ v WORD_BOUNDARY ɡ ɑ t WORD_BOUNDARY t ə WORD_BOUNDARY j uː z WORD_BOUNDARY s t æ t WORD_BOUNDARY s t ʌ t ɪ s t ɪ k s WORD_BOUNDARY t uː WORD_BOUNDARY |
Well it works, erm, there were some | w ɛ l WORD_BOUNDARY ɪ t WORD_BOUNDARY w ɜː k s WORD_BOUNDARY ɜː m WORD_BOUNDARY ð ɛ ɹ w ɜː WORD_BOUNDARY s ʌ m WORD_BOUNDARY |
Yes. | j ɛ s WORD_BOUNDARY |
I can't remember if it was you or somebody else, had er, some data as to how many of the er, jobs in urban areas where the government | aɪ WORD_BOUNDARY k æ n t WORD_BOUNDARY ɹ ɪ m ɛ m b ə ɹ WORD_BOUNDARY ɪ f WORD_BOUNDARY ɪ t WORD_BOUNDARY w ʌ z WORD_BOUNDARY j uː WORD_BOUNDARY ɔ ɹ WORD_BOUNDARY s ʌ m b ɑ d i WORD_BOUNDARY ɛ l s WORD_BOUNDARY h æ d WORD_BOUNDARY ɜː WORD_BOUNDARY s ʌ m WORD_BOUNDARY d eɪ t ə WORD_BOUNDARY æ z WORD_BOUNDARY t ə WORD_BOUNDARY h aʊ WORD_BOUNDARY m ɛ n ɪ ə v WORD_BOUNDARY ð ɪ WORD_BOUNDARY ɜː WORD_BOUNDARY d̠ʒ ɑ b z WORD_BOUNDARY ɪ n WORD_BOUNDARY ɜː b ə n WORD_BOUNDARY ɛ ɹ iə z WORD_BOUNDARY w ɛ ɹ WORD_BOUNDARY ð ə WORD_BOUNDARY ɡ ʌ v ə ɹ n m ə n t WORD_BOUNDARY |
I put erm, studies by Helen and Tate, nineteen eighty three, found public sector employment averaged forty four percent of non-agricultural employment in twenty L D Cs and in extreme cases were Tanzania and Zambia, were as high as seventy eight and eighty one percent respectively. | aɪ WORD_BOUNDARY p ʊ t WORD_BOUNDARY ɜː m WORD_BOUNDARY s t ʌ d i z WORD_BOUNDARY b aɪ WORD_BOUNDARY h ɛ l ə n WORD_BOUNDARY æ n d WORD_BOUNDARY t eɪ t WORD_BOUNDARY n aɪ n t iː n WORD_BOUNDARY eɪ t i WORD_BOUNDARY θ ɹ iː WORD_BOUNDARY f aʊ n d WORD_BOUNDARY p ʌ b l ɪ k WORD_BOUNDARY s ɛ k t ə ɹ ɹ WORD_BOUNDARY ɛ m p l ɔɪ m ə n t WORD_BOUNDARY æ v ɹ ɪ d̠ʒ d WORD_BOUNDARY f ɔ ɹ t i WORD_BOUNDARY f ɔ ɹ WORD_BOUNDARY p ə ɹ s ɛ n t WORD_BOUNDARY ʌ v WORD_BOUNDARY n ɑ n æ ɡ ɹ ɪ k ʌ l t̠ʃ ə ɹ ɹ ə l WORD_BOUNDARY ɛ m p l ɔɪ m ə n t WORD_BOUNDARY ɪ n WORD_BOUNDARY t w ɛ n t i WORD_BOUNDARY ɛ l WORD_BOUNDARY d iː WORD_BOUNDARY s iː ɛ s WORD_BOUNDARY æ n d WORD_BOUNDARY ɪ n WORD_BOUNDARY ɛ k s t ɹ iː m WORD_BOUNDARY k eɪ s ɪ z WORD_BOUNDARY w ɜː WORD_BOUNDARY t æ n z ʌ n iə WORD_BOUNDARY æ n d WORD_BOUNDARY z æ m b i ə WORD_BOUNDARY w ɜː ɹ WORD_BOUNDARY æ z WORD_BOUNDARY h aɪ WORD_BOUNDARY æ z WORD_BOUNDARY s ɛ v ə n t i WORD_BOUNDARY eɪ t WORD_BOUNDARY æ n d WORD_BOUNDARY eɪ t i WORD_BOUNDARY w ʌ n WORD_BOUNDARY p ə ɹ s ɛ n t WORD_BOUNDARY ɹ ɪ s p ɛ k t ɪ v l i WORD_BOUNDARY |
And I think he quote those, or they didn't quote them in much, as much detail as I did in the lectures. | æ n d WORD_BOUNDARY aɪ WORD_BOUNDARY θ ɪ ŋ k WORD_BOUNDARY h iː WORD_BOUNDARY k w oʊ t WORD_BOUNDARY ð oʊ z WORD_BOUNDARY ɔ ɹ WORD_BOUNDARY ð eɪ WORD_BOUNDARY d ɪ d n t WORD_BOUNDARY k w oʊ t WORD_BOUNDARY ð ɛ m WORD_BOUNDARY ɪ n WORD_BOUNDARY m ʌ t̠ʃ WORD_BOUNDARY æ z WORD_BOUNDARY m ʌ t̠ʃ WORD_BOUNDARY d iː t eɪ l WORD_BOUNDARY æ z WORD_BOUNDARY aɪ WORD_BOUNDARY d ɪ d WORD_BOUNDARY ɪ n ð ə WORD_BOUNDARY l ɛ k t̠ʃ ə ɹ z WORD_BOUNDARY |
I'd got these figures down, but I hadn't really got anything against them, he just quickly went through the percentages so yes. | aɪ d WORD_BOUNDARY ɡ ɑ t WORD_BOUNDARY ð iː z WORD_BOUNDARY f ɪ ɡ j ə ɹ z WORD_BOUNDARY d aʊ n WORD_BOUNDARY b ʌ t WORD_BOUNDARY aɪ WORD_BOUNDARY h æ d ə n t WORD_BOUNDARY ɹ iə l i WORD_BOUNDARY ɡ ɑ t WORD_BOUNDARY ɛ n ɪ θ ɪ ŋ WORD_BOUNDARY ʌ ɡ ɛ n s t WORD_BOUNDARY ð ɛ m WORD_BOUNDARY h iː WORD_BOUNDARY d̠ʒ ʌ s t WORD_BOUNDARY k w ɪ k l i WORD_BOUNDARY w ɛ n t WORD_BOUNDARY θ ɹ uː WORD_BOUNDARY ð ə WORD_BOUNDARY p ə ɹ s ɛ n t ɪ d̠ʒ ɪ z WORD_BOUNDARY s oʊ WORD_BOUNDARY j ɛ s WORD_BOUNDARY |
Okay, so | oʊ k eɪ WORD_BOUNDARY s oʊ WORD_BOUNDARY |
And developed countries averaged twenty four percent, so it's twice as much as developed countries. | æ n d WORD_BOUNDARY d ɪ v ɛ l ə p t WORD_BOUNDARY k ʌ n t ɹ i z WORD_BOUNDARY æ v ɹ ɪ d̠ʒ d WORD_BOUNDARY t w ɛ n t i WORD_BOUNDARY f ɔ ɹ WORD_BOUNDARY p ə ɹ s ɛ n t WORD_BOUNDARY s oʊ WORD_BOUNDARY ɪ t s WORD_BOUNDARY t w aɪ s WORD_BOUNDARY æ z WORD_BOUNDARY m ʌ t̠ʃ WORD_BOUNDARY æ z WORD_BOUNDARY d ɪ v ɛ l ə p t WORD_BOUNDARY k ʌ n t ɹ i z WORD_BOUNDARY |
Right, so given sort of erm, public and semi-public institutions, right, represent a large proportion of the non- agricultural erm, employment opportunities, and as a result, alright, the rates of pay in the, in the civil service, essentially, are going to, going to determine erm, the urban, the urban wage rate. | ɹ aɪ t WORD_BOUNDARY s oʊ WORD_BOUNDARY ɡ ɪ v ə n WORD_BOUNDARY s ɔ ɹ t WORD_BOUNDARY ʌ v WORD_BOUNDARY ɜː m WORD_BOUNDARY p ʌ b l ɪ k WORD_BOUNDARY æ n d WORD_BOUNDARY s ɛ m aɪ p ʌ b l ɪ k WORD_BOUNDARY ɪ n s t ɪ t uː ʃ ə n z WORD_BOUNDARY ɹ aɪ t WORD_BOUNDARY ɹ ɛ p ɹ ɪ z ɛ n t WORD_BOUNDARY ʌ WORD_BOUNDARY l ɑ ɹ d̠ʒ WORD_BOUNDARY p ɹ ə p ɔ ɹ ʃ ə n WORD_BOUNDARY ʌ v ð ə WORD_BOUNDARY n ɑ n WORD_BOUNDARY æ ɡ ɹ ɪ k ʌ l t̠ʃ ə ɹ ɹ ə l WORD_BOUNDARY ɜː m WORD_BOUNDARY ɛ m p l ɔɪ m ə n t WORD_BOUNDARY ɑ p ə ɹ t uː n ɪ t i z WORD_BOUNDARY æ n d WORD_BOUNDARY æ z WORD_BOUNDARY ʌ WORD_BOUNDARY ɹ ɪ z ʌ l t WORD_BOUNDARY ɔ l ɹ aɪ t WORD_BOUNDARY ð ə WORD_BOUNDARY ɹ eɪ t s WORD_BOUNDARY ʌ v WORD_BOUNDARY p eɪ WORD_BOUNDARY ɪ n ð ɪ WORD_BOUNDARY ɪ n ð ə WORD_BOUNDARY s ɪ v ə l WORD_BOUNDARY s ɜː v ɪ s WORD_BOUNDARY ɪ s ɛ n ʃ ə l i WORD_BOUNDARY ɑ ɹ WORD_BOUNDARY ɡ oʊ ɪ ŋ WORD_BOUNDARY t ə WORD_BOUNDARY ɡ oʊ ɪ ŋ WORD_BOUNDARY t ə WORD_BOUNDARY d ɪ t ɜː m ɪ n WORD_BOUNDARY ɜː m WORD_BOUNDARY ð ɪ WORD_BOUNDARY ɜː b ə n WORD_BOUNDARY ð ɪ WORD_BOUNDARY ɜː b ə n WORD_BOUNDARY w eɪ d̠ʒ WORD_BOUNDARY ɹ eɪ t WORD_BOUNDARY |
Now if those, erm, wages in the civil service are set, not through sort of market process, but sort of through institutional er, constraints, you know, it's unlikely there's going to be sort of er, union power erm, in these sorts of jobs, but nevertheless, civil servants tend to do quite well at giving themselves pay increases | n aʊ WORD_BOUNDARY ɪ f WORD_BOUNDARY ð oʊ z WORD_BOUNDARY ɜː m WORD_BOUNDARY w eɪ d̠ʒ ɪ z WORD_BOUNDARY ɪ n ð ə WORD_BOUNDARY s ɪ v ə l WORD_BOUNDARY s ɜː v ɪ s WORD_BOUNDARY ɑ ɹ WORD_BOUNDARY s ɛ t WORD_BOUNDARY n ɑ t WORD_BOUNDARY θ ɹ uː WORD_BOUNDARY s ɔ ɹ t WORD_BOUNDARY ʌ v WORD_BOUNDARY m ɑ ɹ k ɪ t WORD_BOUNDARY p ɹ ɑ s ɛ s WORD_BOUNDARY b ʌ t WORD_BOUNDARY s ɔ ɹ t WORD_BOUNDARY ʌ v WORD_BOUNDARY θ ɹ uː WORD_BOUNDARY ɪ n s t ɪ t uː ʃ ə n ə l WORD_BOUNDARY ɜː WORD_BOUNDARY k ə n s t ɹ eɪ n t s WORD_BOUNDARY j uː WORD_BOUNDARY n oʊ WORD_BOUNDARY ɪ t s WORD_BOUNDARY ʌ n l aɪ k l i WORD_BOUNDARY ð ɛ ɹ z WORD_BOUNDARY ɡ oʊ ɪ ŋ WORD_BOUNDARY t ə b i WORD_BOUNDARY s ɔ ɹ t WORD_BOUNDARY ʌ v WORD_BOUNDARY ɜː WORD_BOUNDARY j uː n iə n WORD_BOUNDARY p aʊ ə ɹ ɹ WORD_BOUNDARY ɜː m WORD_BOUNDARY ɪ n WORD_BOUNDARY ð iː z WORD_BOUNDARY s ɔ ɹ t s WORD_BOUNDARY ʌ v WORD_BOUNDARY d̠ʒ ɑ b z WORD_BOUNDARY b ʌ t WORD_BOUNDARY n ɛ v ə ɹ ð ə l ɛ s WORD_BOUNDARY s ɪ v ə l WORD_BOUNDARY s ɜː v ə n t s WORD_BOUNDARY t ɛ n d WORD_BOUNDARY t ə WORD_BOUNDARY d uː WORD_BOUNDARY k w aɪ t WORD_BOUNDARY w ɛ l WORD_BOUNDARY æ t WORD_BOUNDARY ɡ ɪ v ɪ ŋ WORD_BOUNDARY ð ɛ m s ɛ l v z WORD_BOUNDARY p eɪ WORD_BOUNDARY ɪ ŋ k ɹ iː s ɪ z WORD_BOUNDARY |
Conservative government. | k ə n s ɜː v ə t ɪ v WORD_BOUNDARY ɡ ʌ v ə ɹ n m ə n t WORD_BOUNDARY |
and er, and as a result, you know, institutes, the wages in government bodies tend to be quite high, and because gov government bodies represent such a large proportion of er, non- agricultural employment they, they represent a much more sort of, a much more potent influence than they would do in a, in a developed country where the government sector is much, much smaller. | æ n d WORD_BOUNDARY ɜː WORD_BOUNDARY æ n d WORD_BOUNDARY æ z WORD_BOUNDARY ʌ WORD_BOUNDARY ɹ ɪ z ʌ l t WORD_BOUNDARY j uː WORD_BOUNDARY n oʊ WORD_BOUNDARY ɪ n s t ɪ t uː t s WORD_BOUNDARY ð ə WORD_BOUNDARY w eɪ d̠ʒ ɪ z WORD_BOUNDARY ɪ n WORD_BOUNDARY ɡ ʌ v ə ɹ n m ə n t WORD_BOUNDARY b ɑ d i z WORD_BOUNDARY t ɛ n d WORD_BOUNDARY t ə b i WORD_BOUNDARY k w aɪ t WORD_BOUNDARY h aɪ WORD_BOUNDARY æ n d WORD_BOUNDARY b ɪ k ʌ z WORD_BOUNDARY ɡ ɑ v WORD_BOUNDARY ɡ ʌ v ə ɹ n m ə n t WORD_BOUNDARY b ɑ d i z WORD_BOUNDARY ɹ ɛ p ɹ ɪ z ɛ n t WORD_BOUNDARY s ʌ t̠ʃ WORD_BOUNDARY ʌ WORD_BOUNDARY l ɑ ɹ d̠ʒ WORD_BOUNDARY p ɹ ə p ɔ ɹ ʃ ə n WORD_BOUNDARY ʌ v WORD_BOUNDARY ɜː WORD_BOUNDARY n ɑ n WORD_BOUNDARY æ ɡ ɹ ɪ k ʌ l t̠ʃ ə ɹ ɹ ə l WORD_BOUNDARY ɛ m p l ɔɪ m ə n t WORD_BOUNDARY ð eɪ WORD_BOUNDARY ð eɪ WORD_BOUNDARY ɹ ɛ p ɹ ɪ z ɛ n t WORD_BOUNDARY ʌ WORD_BOUNDARY m ʌ t̠ʃ WORD_BOUNDARY m ɔ ɹ WORD_BOUNDARY s ɔ ɹ t WORD_BOUNDARY ə v ə WORD_BOUNDARY m ʌ t̠ʃ WORD_BOUNDARY m ɔ ɹ WORD_BOUNDARY p oʊ t ə n t WORD_BOUNDARY ɪ n f l uː ə n s WORD_BOUNDARY ð ʌ n WORD_BOUNDARY ð eɪ WORD_BOUNDARY w ʊ d WORD_BOUNDARY d uː WORD_BOUNDARY ɪ n WORD_BOUNDARY ʌ WORD_BOUNDARY ɪ n WORD_BOUNDARY ʌ WORD_BOUNDARY d ɪ v ɛ l ə p t WORD_BOUNDARY k ʌ n t ɹ i WORD_BOUNDARY w ɛ ɹ WORD_BOUNDARY ð ə WORD_BOUNDARY ɡ ʌ v ə ɹ n m ə n t WORD_BOUNDARY s ɛ k t ə ɹ ɹ WORD_BOUNDARY ɪ z WORD_BOUNDARY m ʌ t̠ʃ WORD_BOUNDARY m ʌ t̠ʃ WORD_BOUNDARY s m ɔ l ə ɹ WORD_BOUNDARY |
Erm okay what was the importance of implication of er, Harrison model? | ɜː m WORD_BOUNDARY oʊ k eɪ WORD_BOUNDARY w ʌ t WORD_BOUNDARY w ʌ z ð ɪ WORD_BOUNDARY ɪ m p ɔ ɹ t ə n s WORD_BOUNDARY ʌ v WORD_BOUNDARY ɪ m p l ɪ k eɪ ʃ ə n WORD_BOUNDARY ʌ v WORD_BOUNDARY ɜː WORD_BOUNDARY h æ ɹ ɪ s ə n WORD_BOUNDARY m ɑ d ə l WORD_BOUNDARY |
There was one policy implication. | ð ɛ ɹ w ʌ z WORD_BOUNDARY w ʌ n WORD_BOUNDARY p ɑ l ɪ s i WORD_BOUNDARY ɪ m p l ɪ k eɪ ʃ ə n WORD_BOUNDARY |
That, what was it, that erm people still move. | ð æ t WORD_BOUNDARY w ʌ t WORD_BOUNDARY w ʌ z WORD_BOUNDARY ɪ t WORD_BOUNDARY ð æ t WORD_BOUNDARY ɜː m WORD_BOUNDARY p iː p ə l WORD_BOUNDARY s t ɪ l WORD_BOUNDARY m uː v WORD_BOUNDARY |
Obviously, we that right, people will still move if unemployment's high, but if you try, if the government tries and gets rid of unem urban unemployment, say people have moved because of it, so there's unemployment there to start with because of the reasons we've discussed earlier, so then the government said okay, well let's get rid of the unemployment that has occurred already, by erm, either, at the same wage rate trying to well yes, the same, they'll keep wage rates the same, but erm, increase, you know, make the public sector bigger or, or do something to create urban jobs, and basically all it will do is, encourage more migrants because they'll see the probability of getting a job will increase so the expected wage will increase so you'll get migration on top of what's already occurring. | ɑ b v iə s l i WORD_BOUNDARY w iː WORD_BOUNDARY ð æ t WORD_BOUNDARY ɹ aɪ t WORD_BOUNDARY p iː p ə l WORD_BOUNDARY w ɪ l WORD_BOUNDARY s t ɪ l WORD_BOUNDARY m uː v WORD_BOUNDARY ɪ f WORD_BOUNDARY ʌ n ɛ m p l ɔɪ m ə n t s WORD_BOUNDARY h aɪ WORD_BOUNDARY b ʌ t WORD_BOUNDARY ɪ f WORD_BOUNDARY j uː WORD_BOUNDARY t ɹ aɪ WORD_BOUNDARY ɪ f WORD_BOUNDARY ð ə WORD_BOUNDARY ɡ ʌ v ə ɹ n m ə n t WORD_BOUNDARY t ɹ aɪ z WORD_BOUNDARY æ n d WORD_BOUNDARY ɡ ɛ t s WORD_BOUNDARY ɹ ɪ d WORD_BOUNDARY ʌ v WORD_BOUNDARY ʌ n ɛ m WORD_BOUNDARY ɜː b ə n WORD_BOUNDARY ʌ n ɛ m p l ɔɪ m ə n t WORD_BOUNDARY s eɪ WORD_BOUNDARY p iː p ə l WORD_BOUNDARY h æ v WORD_BOUNDARY m uː v d WORD_BOUNDARY b ɪ k ʌ z WORD_BOUNDARY ʌ v WORD_BOUNDARY ɪ t WORD_BOUNDARY s oʊ WORD_BOUNDARY ð ɛ ɹ z WORD_BOUNDARY ʌ n ɛ m p l ɔɪ m ə n t WORD_BOUNDARY ð ɛ ɹ WORD_BOUNDARY t ə WORD_BOUNDARY s t ɑ ɹ t WORD_BOUNDARY w ɪ ð WORD_BOUNDARY b ɪ k ʌ z WORD_BOUNDARY ʌ v ð ə WORD_BOUNDARY ɹ iː z ə n z WORD_BOUNDARY w iː v WORD_BOUNDARY d ɪ s k ʌ s t WORD_BOUNDARY ɜː l ɪ ə ɹ WORD_BOUNDARY s oʊ WORD_BOUNDARY ð ɛ n WORD_BOUNDARY ð ə WORD_BOUNDARY ɡ ʌ v ə ɹ n m ə n t WORD_BOUNDARY s ɛ d WORD_BOUNDARY oʊ k eɪ WORD_BOUNDARY w ɛ l WORD_BOUNDARY l ɛ t s WORD_BOUNDARY ɡ ɛ t WORD_BOUNDARY ɹ ɪ d WORD_BOUNDARY ʌ v ð ɪ WORD_BOUNDARY ʌ n ɛ m p l ɔɪ m ə n t WORD_BOUNDARY ð æ t WORD_BOUNDARY h ʌ z WORD_BOUNDARY ə k ɜː d WORD_BOUNDARY ɔ l ɹ ɛ d i WORD_BOUNDARY b aɪ WORD_BOUNDARY ɜː m WORD_BOUNDARY iː ð ə ɹ ɹ WORD_BOUNDARY æ t WORD_BOUNDARY ð ə WORD_BOUNDARY s eɪ m WORD_BOUNDARY w eɪ d̠ʒ WORD_BOUNDARY ɹ eɪ t WORD_BOUNDARY t ɹ aɪ ɪ ŋ WORD_BOUNDARY t ə WORD_BOUNDARY w ɛ l WORD_BOUNDARY j ɛ s WORD_BOUNDARY ð ə WORD_BOUNDARY s eɪ m WORD_BOUNDARY ð eɪ l WORD_BOUNDARY k iː p WORD_BOUNDARY w eɪ d̠ʒ WORD_BOUNDARY ɹ eɪ t s WORD_BOUNDARY ð ə WORD_BOUNDARY s eɪ m WORD_BOUNDARY b ʌ t WORD_BOUNDARY ɜː m WORD_BOUNDARY ɪ ŋ k ɹ iː s WORD_BOUNDARY j uː WORD_BOUNDARY n oʊ WORD_BOUNDARY m eɪ k WORD_BOUNDARY ð ə WORD_BOUNDARY p ʌ b l ɪ k WORD_BOUNDARY s ɛ k t ə ɹ WORD_BOUNDARY b ɪ ɡ ə ɹ WORD_BOUNDARY ɔ ɹ WORD_BOUNDARY ɔ ɹ WORD_BOUNDARY d uː WORD_BOUNDARY s ʌ m θ ɪ ŋ WORD_BOUNDARY t ə WORD_BOUNDARY k ɹ iː eɪ t WORD_BOUNDARY ɜː b ə n WORD_BOUNDARY d̠ʒ ɑ b z WORD_BOUNDARY æ n d WORD_BOUNDARY b eɪ s ɪ k l i WORD_BOUNDARY ɔ l WORD_BOUNDARY ɪ t WORD_BOUNDARY w ɪ l WORD_BOUNDARY d uː WORD_BOUNDARY ɪ z WORD_BOUNDARY ɛ ŋ k ɜː ɹ ɪ d̠ʒ WORD_BOUNDARY m ɔ ɹ WORD_BOUNDARY m aɪ ɡ ɹ ə n t s WORD_BOUNDARY b ɪ k ʌ z WORD_BOUNDARY ð eɪ l WORD_BOUNDARY s iː WORD_BOUNDARY ð ə WORD_BOUNDARY p ɹ ɑ b ə b ɪ l ɪ t i WORD_BOUNDARY ʌ v WORD_BOUNDARY ɡ ɛ t ɪ ŋ WORD_BOUNDARY ʌ WORD_BOUNDARY d̠ʒ ɑ b WORD_BOUNDARY w ɪ l WORD_BOUNDARY ɪ ŋ k ɹ iː s WORD_BOUNDARY s oʊ WORD_BOUNDARY ð ɪ WORD_BOUNDARY ɛ k s p ɛ k t ɪ d WORD_BOUNDARY w eɪ d̠ʒ WORD_BOUNDARY w ɪ l WORD_BOUNDARY ɪ ŋ k ɹ iː s WORD_BOUNDARY s oʊ WORD_BOUNDARY j uː l WORD_BOUNDARY ɡ ɛ t WORD_BOUNDARY m aɪ ɡ ɹ eɪ ʃ ə n WORD_BOUNDARY ɔ n WORD_BOUNDARY t ɑ p WORD_BOUNDARY ʌ v WORD_BOUNDARY w ʌ t s WORD_BOUNDARY ɔ l ɹ ɛ d i WORD_BOUNDARY ə k ɜː ɹ ɪ ŋ WORD_BOUNDARY |
And, erm, you won't solve anything. | æ n d WORD_BOUNDARY ɜː m WORD_BOUNDARY j uː WORD_BOUNDARY w oʊ n t WORD_BOUNDARY s ɑ l v WORD_BOUNDARY ɛ n ɪ θ ɪ ŋ WORD_BOUNDARY |
That's right, so, if you want to try and erm, minimize urban unemployment, right, or it's futile to try and minimize urban unemployment by erm, er, establishing employment er, job creation schemes in urban areas, because that will increase the probability of getting a job if you're a migrant. | ð æ t s WORD_BOUNDARY ɹ aɪ t WORD_BOUNDARY s oʊ WORD_BOUNDARY ɪ f WORD_BOUNDARY j uː WORD_BOUNDARY w ɔ n t WORD_BOUNDARY t ə WORD_BOUNDARY t ɹ aɪ WORD_BOUNDARY æ n d WORD_BOUNDARY ɜː m WORD_BOUNDARY m ɪ n ɪ m aɪ z WORD_BOUNDARY ɜː b ə n WORD_BOUNDARY ʌ n ɛ m p l ɔɪ m ə n t WORD_BOUNDARY ɹ aɪ t WORD_BOUNDARY ɔ ɹ WORD_BOUNDARY ɪ t s WORD_BOUNDARY f j uː t ə l WORD_BOUNDARY t ə WORD_BOUNDARY t ɹ aɪ WORD_BOUNDARY æ n d WORD_BOUNDARY m ɪ n ɪ m aɪ z WORD_BOUNDARY ɜː b ə n WORD_BOUNDARY ʌ n ɛ m p l ɔɪ m ə n t WORD_BOUNDARY b aɪ WORD_BOUNDARY ɜː m WORD_BOUNDARY ɜː ɹ WORD_BOUNDARY ɪ s t æ b l ɪ ʃ ɪ ŋ WORD_BOUNDARY ɛ m p l ɔɪ m ə n t WORD_BOUNDARY ɜː WORD_BOUNDARY d̠ʒ ɑ b WORD_BOUNDARY k ɹ iː eɪ ʃ ə n WORD_BOUNDARY s k iː m z WORD_BOUNDARY ɪ n WORD_BOUNDARY ɜː b ə n WORD_BOUNDARY ɛ ɹ iə z WORD_BOUNDARY b ɪ k ʌ z WORD_BOUNDARY ð æ t WORD_BOUNDARY w ɪ l WORD_BOUNDARY ɪ ŋ k ɹ iː s WORD_BOUNDARY ð ə WORD_BOUNDARY p ɹ ɑ b ə b ɪ l ɪ t i WORD_BOUNDARY ʌ v WORD_BOUNDARY ɡ ɛ t ɪ ŋ WORD_BOUNDARY ʌ WORD_BOUNDARY d̠ʒ ɑ b WORD_BOUNDARY ɪ f WORD_BOUNDARY j ʊ ɹ WORD_BOUNDARY ʌ WORD_BOUNDARY m aɪ ɡ ɹ ə n t WORD_BOUNDARY |
Right, so there are these government job creation schemes, alright. | ɹ aɪ t WORD_BOUNDARY s oʊ WORD_BOUNDARY ð ɛ ɹ ɑ ɹ WORD_BOUNDARY ð iː z WORD_BOUNDARY ɡ ʌ v ə ɹ n m ə n t WORD_BOUNDARY d̠ʒ ɑ b WORD_BOUNDARY k ɹ iː eɪ ʃ ə n WORD_BOUNDARY s k iː m z WORD_BOUNDARY ɔ l ɹ aɪ t WORD_BOUNDARY |
Now, because it's typically observed in the Harrison model shows this under certain circumstances to be the case, that, erm, a sort of erm, migration elasticity with respect to income differentials, right, is much greater than the erm, | n aʊ WORD_BOUNDARY b ɪ k ʌ z WORD_BOUNDARY ɪ t s WORD_BOUNDARY t ɪ p ɪ k l i WORD_BOUNDARY ə b z ɜː v d WORD_BOUNDARY ɪ n ð ə WORD_BOUNDARY h æ ɹ ɪ s ə n WORD_BOUNDARY m ɑ d ə l WORD_BOUNDARY ʃ oʊ z WORD_BOUNDARY ð ɪ s WORD_BOUNDARY ʌ n d ə ɹ WORD_BOUNDARY s ɜː t ə n WORD_BOUNDARY s ɜː k ə m s t æ n s ɪ z WORD_BOUNDARY t ə b i WORD_BOUNDARY ð ə WORD_BOUNDARY k eɪ s WORD_BOUNDARY ð æ t WORD_BOUNDARY ɜː m WORD_BOUNDARY ʌ WORD_BOUNDARY s ɔ ɹ t WORD_BOUNDARY ʌ v WORD_BOUNDARY ɜː m WORD_BOUNDARY m aɪ ɡ ɹ eɪ ʃ ə n WORD_BOUNDARY ɪ l ʌ s t ɪ s ɪ t i WORD_BOUNDARY w ɪ ð WORD_BOUNDARY ɹ ɪ s p ɛ k t WORD_BOUNDARY t ʊ WORD_BOUNDARY ɪ ŋ k ʌ m WORD_BOUNDARY d ɪ f ə ɹ ɹ ɛ n ʃ ə l z WORD_BOUNDARY ɹ aɪ t WORD_BOUNDARY ɪ z WORD_BOUNDARY m ʌ t̠ʃ WORD_BOUNDARY ɡ ɹ eɪ t ə ɹ WORD_BOUNDARY ð ʌ n WORD_BOUNDARY ð ɪ WORD_BOUNDARY ɜː m WORD_BOUNDARY |
The rate of unemployment, the level of unemployment | ð ə WORD_BOUNDARY ɹ eɪ t WORD_BOUNDARY ʌ v WORD_BOUNDARY ʌ n ɛ m p l ɔɪ m ə n t WORD_BOUNDARY ð ə WORD_BOUNDARY l ɛ v ə l WORD_BOUNDARY ʌ v WORD_BOUNDARY ʌ n ɛ m p l ɔɪ m ə n t WORD_BOUNDARY |
That's right, yes, yes, that's right, because erm, there's a gre there's a higher elasticity of migration inelasticity in respect to income differentials than there is to unemployment, any job creation schemes will lead to more migration, rather than, rather than less, so how, how best to get round the problem? | ð æ t s WORD_BOUNDARY ɹ aɪ t WORD_BOUNDARY j ɛ s WORD_BOUNDARY j ɛ s WORD_BOUNDARY ð æ t s WORD_BOUNDARY ɹ aɪ t WORD_BOUNDARY b ɪ k ʌ z WORD_BOUNDARY ɜː m WORD_BOUNDARY ð ɛ ɹ z WORD_BOUNDARY ʌ WORD_BOUNDARY ɡ ɹ iː WORD_BOUNDARY ð ɛ ɹ z WORD_BOUNDARY ʌ WORD_BOUNDARY h aɪ ə ɹ ɹ WORD_BOUNDARY ɪ l ʌ s t ɪ s ɪ t i WORD_BOUNDARY ʌ v WORD_BOUNDARY m aɪ ɡ ɹ eɪ ʃ ə n WORD_BOUNDARY ɪ n ɪ l ʌ s t ɪ s ɪ t i WORD_BOUNDARY ɪ n WORD_BOUNDARY ɹ ɪ s p ɛ k t WORD_BOUNDARY t ʊ WORD_BOUNDARY ɪ ŋ k ʌ m WORD_BOUNDARY d ɪ f ə ɹ ɹ ɛ n ʃ ə l z WORD_BOUNDARY ð ʌ n WORD_BOUNDARY ð ɛ ɹ WORD_BOUNDARY ɪ z WORD_BOUNDARY t ʊ WORD_BOUNDARY ʌ n ɛ m p l ɔɪ m ə n t WORD_BOUNDARY ɛ n i WORD_BOUNDARY d̠ʒ ɑ b WORD_BOUNDARY k ɹ iː eɪ ʃ ə n WORD_BOUNDARY s k iː m z WORD_BOUNDARY w ɪ l WORD_BOUNDARY l iː d WORD_BOUNDARY t ə WORD_BOUNDARY m ɔ ɹ WORD_BOUNDARY m aɪ ɡ ɹ eɪ ʃ ə n WORD_BOUNDARY ɹ æ ð ə ɹ WORD_BOUNDARY ð ʌ n WORD_BOUNDARY ɹ æ ð ə ɹ WORD_BOUNDARY ð ʌ n WORD_BOUNDARY l ɛ s WORD_BOUNDARY s oʊ WORD_BOUNDARY h aʊ WORD_BOUNDARY h aʊ WORD_BOUNDARY b ɛ s t WORD_BOUNDARY t ə WORD_BOUNDARY ɡ ɛ t WORD_BOUNDARY ɹ aʊ n d WORD_BOUNDARY ð ə WORD_BOUNDARY p ɹ ɑ b l ə m WORD_BOUNDARY |
If job creation schemes aren't in urban areas, are the best way to get round them, isn't it, if we can show, quite simply, that job creation schemes lead to more migration, which lead to more unemployment. | ɪ f WORD_BOUNDARY d̠ʒ ɑ b WORD_BOUNDARY k ɹ iː eɪ ʃ ə n WORD_BOUNDARY s k iː m z WORD_BOUNDARY ɑ ɹ n t WORD_BOUNDARY ɪ n WORD_BOUNDARY ɜː b ə n WORD_BOUNDARY ɛ ɹ iə z WORD_BOUNDARY ɑ ɹ WORD_BOUNDARY ð ə WORD_BOUNDARY b ɛ s t WORD_BOUNDARY w eɪ WORD_BOUNDARY t ə WORD_BOUNDARY ɡ ɛ t WORD_BOUNDARY ɹ aʊ n d WORD_BOUNDARY ð ɛ m WORD_BOUNDARY ɪ z ə n t WORD_BOUNDARY ɪ t WORD_BOUNDARY ɪ f WORD_BOUNDARY w iː WORD_BOUNDARY k æ n WORD_BOUNDARY ʃ oʊ WORD_BOUNDARY k w aɪ t WORD_BOUNDARY s ɪ m p l i WORD_BOUNDARY ð æ t WORD_BOUNDARY d̠ʒ ɑ b WORD_BOUNDARY k ɹ iː eɪ ʃ ə n WORD_BOUNDARY s k iː m z WORD_BOUNDARY l iː d WORD_BOUNDARY t ə WORD_BOUNDARY m ɔ ɹ WORD_BOUNDARY m aɪ ɡ ɹ eɪ ʃ ə n WORD_BOUNDARY w ɪ t̠ʃ WORD_BOUNDARY l iː d WORD_BOUNDARY t ə WORD_BOUNDARY m ɔ ɹ WORD_BOUNDARY ʌ n ɛ m p l ɔɪ m ə n t WORD_BOUNDARY |
The policy's self repeating, what policies might? | ð ə WORD_BOUNDARY p ɑ l ɪ s i z WORD_BOUNDARY s ɛ l f WORD_BOUNDARY ɹ ɪ p iː t ɪ ŋ WORD_BOUNDARY w ʌ t WORD_BOUNDARY p ɑ l ɪ s i z WORD_BOUNDARY m aɪ t WORD_BOUNDARY |
A policy of cross-training,for all areas. | ʌ WORD_BOUNDARY p ɑ l ɪ s i WORD_BOUNDARY ʌ v WORD_BOUNDARY k ɹ ɔ s t ɹ eɪ n ɪ ŋ WORD_BOUNDARY f ɔ ɹ WORD_BOUNDARY ɔ l WORD_BOUNDARY ɛ ɹ iə z WORD_BOUNDARY |
Okay, yeah, so, what might those, what form might those policies take, what might they be? | oʊ k eɪ WORD_BOUNDARY j ɛ h WORD_BOUNDARY s oʊ WORD_BOUNDARY w ʌ t WORD_BOUNDARY m aɪ t WORD_BOUNDARY ð oʊ z WORD_BOUNDARY w ʌ t WORD_BOUNDARY f ɔ ɹ m WORD_BOUNDARY m aɪ t WORD_BOUNDARY ð oʊ z WORD_BOUNDARY p ɑ l ɪ s i z WORD_BOUNDARY t eɪ k WORD_BOUNDARY w ʌ t WORD_BOUNDARY m aɪ t WORD_BOUNDARY ð eɪ WORD_BOUNDARY b iː WORD_BOUNDARY |
on it. | ɔ n WORD_BOUNDARY ɪ t WORD_BOUNDARY |
Yes, population controls, that's right, that's one, I mean, one reason, one way of getting rid of the migration is to, is to, is to limit population growth. | j ɛ s WORD_BOUNDARY p ɑ p j ʊ l eɪ ʃ ə n WORD_BOUNDARY k ə n t ɹ oʊ l z WORD_BOUNDARY ð æ t s WORD_BOUNDARY ɹ aɪ t WORD_BOUNDARY ð æ t s WORD_BOUNDARY w ʌ n WORD_BOUNDARY aɪ WORD_BOUNDARY m iː n WORD_BOUNDARY w ʌ n WORD_BOUNDARY ɹ iː z ə n WORD_BOUNDARY w ʌ n WORD_BOUNDARY w eɪ WORD_BOUNDARY ʌ v WORD_BOUNDARY ɡ ɛ t ɪ ŋ WORD_BOUNDARY ɹ ɪ d WORD_BOUNDARY ʌ v ð ə WORD_BOUNDARY m aɪ ɡ ɹ eɪ ʃ ə n WORD_BOUNDARY ɪ z WORD_BOUNDARY t ʊ WORD_BOUNDARY ɪ z WORD_BOUNDARY t ʊ WORD_BOUNDARY ɪ z WORD_BOUNDARY t ə WORD_BOUNDARY l ɪ m ɪ t WORD_BOUNDARY p ɑ p j ʊ l eɪ ʃ ə n WORD_BOUNDARY ɡ ɹ oʊ θ WORD_BOUNDARY |
Where's the population growth highest? | w ɛ ɹ z WORD_BOUNDARY ð ə WORD_BOUNDARY p ɑ p j ʊ l eɪ ʃ ə n WORD_BOUNDARY ɡ ɹ oʊ θ WORD_BOUNDARY h aɪ ɪ s t WORD_BOUNDARY |
It's at its highest in rural areas, this is what's being done. | ɪ t s WORD_BOUNDARY æ t WORD_BOUNDARY ɪ t s WORD_BOUNDARY h aɪ ɪ s t WORD_BOUNDARY ɪ n WORD_BOUNDARY ɹ ʊ ɹ ɹ ə l WORD_BOUNDARY ɛ ɹ iə z WORD_BOUNDARY ð ɪ s WORD_BOUNDARY ɪ z WORD_BOUNDARY w ʌ t s WORD_BOUNDARY b iː ɪ ŋ WORD_BOUNDARY d ʌ n WORD_BOUNDARY |
Erm, population control is always focused out in the rural areas,the most difficult place to do it, because populations are dispersed, er, that's where population growth, right, is the highest. | ɜː m WORD_BOUNDARY p ɑ p j ʊ l eɪ ʃ ə n WORD_BOUNDARY k ə n t ɹ oʊ l WORD_BOUNDARY ɪ z WORD_BOUNDARY ɔ l w eɪ z WORD_BOUNDARY f oʊ k ə s t WORD_BOUNDARY aʊ t WORD_BOUNDARY ɪ n ð ə WORD_BOUNDARY ɹ ʊ ɹ ɹ ə l WORD_BOUNDARY ɛ ɹ iə z WORD_BOUNDARY ð ə WORD_BOUNDARY m oʊ s t WORD_BOUNDARY d ɪ f ɪ k ə l t WORD_BOUNDARY p l eɪ s WORD_BOUNDARY t ə WORD_BOUNDARY d uː WORD_BOUNDARY ɪ t WORD_BOUNDARY b ɪ k ʌ z WORD_BOUNDARY p ɑ p j ʊ l eɪ ʃ ə n z WORD_BOUNDARY ɑ ɹ WORD_BOUNDARY d ɪ s p ɜː s t WORD_BOUNDARY ɜː WORD_BOUNDARY ð æ t s WORD_BOUNDARY w ɛ ɹ WORD_BOUNDARY p ɑ p j ʊ l eɪ ʃ ə n WORD_BOUNDARY ɡ ɹ oʊ θ WORD_BOUNDARY ɹ aɪ t WORD_BOUNDARY ɪ z WORD_BOUNDARY ð ə WORD_BOUNDARY h aɪ ɪ s t WORD_BOUNDARY |
Any other? | ɛ n i WORD_BOUNDARY ʌ ð ə ɹ WORD_BOUNDARY |
Making incentives to actually raise the wage rates in the, in the rural areas so, sort of to, to increase production or, and through, through farming. | m eɪ k ɪ ŋ WORD_BOUNDARY ɪ n s ɛ n t ɪ v z WORD_BOUNDARY t ʊ WORD_BOUNDARY æ k t̠ʃ uː ə l i WORD_BOUNDARY ɹ eɪ z WORD_BOUNDARY ð ə WORD_BOUNDARY w eɪ d̠ʒ WORD_BOUNDARY ɹ eɪ t s WORD_BOUNDARY ɪ n ð ɪ WORD_BOUNDARY ɪ n ð ə WORD_BOUNDARY ɹ ʊ ɹ ɹ ə l WORD_BOUNDARY ɛ ɹ iə z WORD_BOUNDARY s oʊ WORD_BOUNDARY s ɔ ɹ t WORD_BOUNDARY ʌ v WORD_BOUNDARY t ʊ t ʊ WORD_BOUNDARY ɪ ŋ k ɹ iː s WORD_BOUNDARY p ɹ ə d ʌ k ʃ ə n WORD_BOUNDARY ɔ ɹ WORD_BOUNDARY æ n d WORD_BOUNDARY θ ɹ uː WORD_BOUNDARY θ ɹ uː WORD_BOUNDARY f ɑ ɹ m ɪ ŋ WORD_BOUNDARY |
To improve their situation, | t ʊ WORD_BOUNDARY ɪ m p ɹ uː v WORD_BOUNDARY ð ɛ ɹ WORD_BOUNDARY s ɪ t̠ʃ uː eɪ ʃ ə n WORD_BOUNDARY |
Right, yeah | ɹ aɪ t WORD_BOUNDARY j ɛ h WORD_BOUNDARY |
improve their wages through farming and perhaps | ɪ m p ɹ uː v WORD_BOUNDARY ð ɛ ɹ WORD_BOUNDARY w eɪ d̠ʒ ɪ z WORD_BOUNDARY θ ɹ uː WORD_BOUNDARY f ɑ ɹ m ɪ ŋ WORD_BOUNDARY æ n d WORD_BOUNDARY p ə ɹ h æ p s WORD_BOUNDARY |
That's right, | ð æ t s WORD_BOUNDARY ɹ aɪ t WORD_BOUNDARY |
put more infrastructure in so that then the farmers can send their children to school rather than work on the land. | p ʊ t WORD_BOUNDARY m ɔ ɹ WORD_BOUNDARY ɪ n f ɹ ə s t ɹ ʌ k t̠ʃ ə ɹ ɹ WORD_BOUNDARY ɪ n WORD_BOUNDARY s oʊ WORD_BOUNDARY ð æ t WORD_BOUNDARY ð ɛ n WORD_BOUNDARY ð ə WORD_BOUNDARY f ɑ ɹ m ə ɹ z WORD_BOUNDARY k æ n WORD_BOUNDARY s ɛ n d WORD_BOUNDARY ð ɛ ɹ WORD_BOUNDARY t̠ʃ ɪ l d ɹ ə n WORD_BOUNDARY t ə WORD_BOUNDARY s k uː l WORD_BOUNDARY ɹ æ ð ə ɹ WORD_BOUNDARY ð ʌ n WORD_BOUNDARY w ɜː k WORD_BOUNDARY ɔ n ð ə WORD_BOUNDARY l æ n d WORD_BOUNDARY |
yeah, that's right, what we want to try and do is to improve the erm, the returns to, to agriculture which is the main form of er, sort of income in rural areas. | j ɛ h WORD_BOUNDARY ð æ t s WORD_BOUNDARY ɹ aɪ t WORD_BOUNDARY w ʌ t WORD_BOUNDARY w iː WORD_BOUNDARY w ɔ n t WORD_BOUNDARY t ə WORD_BOUNDARY t ɹ aɪ WORD_BOUNDARY æ n d WORD_BOUNDARY d uː WORD_BOUNDARY ɪ z WORD_BOUNDARY t ʊ WORD_BOUNDARY ɪ m p ɹ uː v WORD_BOUNDARY ð ɪ WORD_BOUNDARY ɜː m WORD_BOUNDARY ð ə WORD_BOUNDARY ɹ ɪ t ɜː n z WORD_BOUNDARY t ʊ t ʊ WORD_BOUNDARY æ ɡ ɹ ɪ k ʌ l t̠ʃ ə ɹ WORD_BOUNDARY w ɪ t̠ʃ WORD_BOUNDARY ɪ z WORD_BOUNDARY ð ə WORD_BOUNDARY m eɪ n WORD_BOUNDARY f ɔ ɹ m WORD_BOUNDARY ʌ v WORD_BOUNDARY ɜː WORD_BOUNDARY s ɔ ɹ t WORD_BOUNDARY ʌ v WORD_BOUNDARY ɪ ŋ k ʌ m WORD_BOUNDARY ɪ n WORD_BOUNDARY ɹ ʊ ɹ ɹ ə l WORD_BOUNDARY ɛ ɹ iə z WORD_BOUNDARY |
I mean if you do things like that while improving infrastructure, erm, setting up credit, government credit facilities, er, so, so, so we can lend, we could lend money to small farms. | aɪ WORD_BOUNDARY m iː n WORD_BOUNDARY ɪ f WORD_BOUNDARY j uː WORD_BOUNDARY d uː WORD_BOUNDARY θ ɪ ŋ z WORD_BOUNDARY l aɪ k WORD_BOUNDARY ð æ t WORD_BOUNDARY w aɪ l WORD_BOUNDARY ɪ m p ɹ uː v ɪ ŋ WORD_BOUNDARY ɪ n f ɹ ə s t ɹ ʌ k t̠ʃ ə ɹ ɹ WORD_BOUNDARY ɜː m WORD_BOUNDARY s ɛ t ɪ ŋ WORD_BOUNDARY ʌ p WORD_BOUNDARY k ɹ ɛ d ɪ t WORD_BOUNDARY ɡ ʌ v ə ɹ n m ə n t WORD_BOUNDARY k ɹ ɛ d ɪ t WORD_BOUNDARY f ə s ɪ l ɪ t i z WORD_BOUNDARY ɜː WORD_BOUNDARY s oʊ WORD_BOUNDARY s oʊ WORD_BOUNDARY s oʊ WORD_BOUNDARY w iː WORD_BOUNDARY k æ n WORD_BOUNDARY l ɛ n d WORD_BOUNDARY w iː WORD_BOUNDARY k ʊ d WORD_BOUNDARY l ɛ n d WORD_BOUNDARY m ʌ n i WORD_BOUNDARY t ə WORD_BOUNDARY s m ɔ l WORD_BOUNDARY f ɑ ɹ m z WORD_BOUNDARY |
Increase in information about unem unemployment itself, that is a, that is a problem, people have this misapprehensions about the probability of getting a job | ɪ ŋ k ɹ iː s WORD_BOUNDARY ɪ n WORD_BOUNDARY ɪ n f ə ɹ m eɪ ʃ ə n WORD_BOUNDARY ʌ b aʊ t WORD_BOUNDARY ʌ n ɛ m WORD_BOUNDARY ʌ n ɛ m p l ɔɪ m ə n t WORD_BOUNDARY ɪ t s ɛ l f WORD_BOUNDARY ð æ t WORD_BOUNDARY ɪ z WORD_BOUNDARY ʌ WORD_BOUNDARY ð æ t WORD_BOUNDARY ɪ z WORD_BOUNDARY ʌ WORD_BOUNDARY p ɹ ɑ b l ə m WORD_BOUNDARY p iː p ə l WORD_BOUNDARY h æ v WORD_BOUNDARY ð ɪ s WORD_BOUNDARY m ɪ s æ p ɹ i h ɛ n ʃ ə n z WORD_BOUNDARY ʌ b aʊ t WORD_BOUNDARY ð ə WORD_BOUNDARY p ɹ ɑ b ə b ɪ l ɪ t i WORD_BOUNDARY ʌ v WORD_BOUNDARY ɡ ɛ t ɪ ŋ WORD_BOUNDARY ʌ WORD_BOUNDARY d̠ʒ ɑ b WORD_BOUNDARY |
You could also erm, start to recognize the benefit of the rural sector, and one reason why they were discriminating, L D Cs tended to want to ignore that and sort of shun it, because it's not sort of a glamorous image they were trying to hope for in the urban sector, and, so, if they did help them, say give them units, like the repair men, units to work in, and they put them in really totally crappy accommodation, and up not where you need it, and not where people pass by with their motors and things, they, they'd put them somewhere up on a hill, overlooking a city, so erm, to encourage the informal sector by erm, sort of on a par with the formal sector because erm, their inter- reacting, inter-relating now, like they're providing cheap inputs for the formal industries and, and the formal industries are pro providing clientele all for the informal sector, and so it's all inter-linked and, and it's there now. | j uː WORD_BOUNDARY k ʊ d WORD_BOUNDARY ɔ l s oʊ WORD_BOUNDARY ɜː m WORD_BOUNDARY s t ɑ ɹ t WORD_BOUNDARY t ə WORD_BOUNDARY ɹ ɛ k ə ɡ n aɪ z WORD_BOUNDARY ð ə WORD_BOUNDARY b ɛ n ɪ f ɪ t WORD_BOUNDARY ʌ v ð ə WORD_BOUNDARY ɹ ʊ ɹ ɹ ə l WORD_BOUNDARY s ɛ k t ə ɹ WORD_BOUNDARY æ n d WORD_BOUNDARY w ʌ n WORD_BOUNDARY ɹ iː z ə n WORD_BOUNDARY w aɪ WORD_BOUNDARY ð eɪ WORD_BOUNDARY w ɜː WORD_BOUNDARY d ɪ s k ɹ ɪ m ɪ n eɪ t ɪ ŋ WORD_BOUNDARY ɛ l WORD_BOUNDARY d iː WORD_BOUNDARY s iː ɛ s WORD_BOUNDARY t ɛ n d ɪ d WORD_BOUNDARY t ə WORD_BOUNDARY w ɔ n t WORD_BOUNDARY t ʊ WORD_BOUNDARY ɪ ɡ n ɔ ɹ WORD_BOUNDARY ð æ t WORD_BOUNDARY æ n d WORD_BOUNDARY s ɔ ɹ t WORD_BOUNDARY ʌ v WORD_BOUNDARY ʃ ʌ n WORD_BOUNDARY ɪ t WORD_BOUNDARY b ɪ k ʌ z WORD_BOUNDARY ɪ t s WORD_BOUNDARY n ɑ t WORD_BOUNDARY s ɔ ɹ t WORD_BOUNDARY ə v ə WORD_BOUNDARY ɡ l æ m ə ɹ ɹ ə s WORD_BOUNDARY ɪ m ɪ d̠ʒ WORD_BOUNDARY ð eɪ WORD_BOUNDARY w ɜː WORD_BOUNDARY t ɹ aɪ ɪ ŋ WORD_BOUNDARY t ə WORD_BOUNDARY h oʊ p WORD_BOUNDARY f ɔ ɹ WORD_BOUNDARY ɪ n ð ɪ WORD_BOUNDARY ɜː b ə n WORD_BOUNDARY s ɛ k t ə ɹ WORD_BOUNDARY æ n d WORD_BOUNDARY s oʊ WORD_BOUNDARY ɪ f WORD_BOUNDARY ð eɪ WORD_BOUNDARY d ɪ d WORD_BOUNDARY h ɛ l p WORD_BOUNDARY ð ɛ m WORD_BOUNDARY s eɪ WORD_BOUNDARY ɡ ɪ v WORD_BOUNDARY ð ɛ m WORD_BOUNDARY j uː n ɪ t s WORD_BOUNDARY l aɪ k WORD_BOUNDARY ð ə WORD_BOUNDARY ɹ ɪ p ɛ ɹ WORD_BOUNDARY m ɛ n WORD_BOUNDARY j uː n ɪ t s WORD_BOUNDARY t ə WORD_BOUNDARY w ɜː k WORD_BOUNDARY ɪ n WORD_BOUNDARY æ n d WORD_BOUNDARY ð eɪ WORD_BOUNDARY p ʊ t WORD_BOUNDARY ð ɛ m WORD_BOUNDARY ɪ n WORD_BOUNDARY ɹ iə l i WORD_BOUNDARY t oʊ t ə l i WORD_BOUNDARY k ɹ æ p i WORD_BOUNDARY ʌ k ɑ m ə d eɪ ʃ ə n WORD_BOUNDARY æ n d WORD_BOUNDARY ʌ p WORD_BOUNDARY n ɑ t WORD_BOUNDARY w ɛ ɹ WORD_BOUNDARY j uː WORD_BOUNDARY n iː d WORD_BOUNDARY ɪ t WORD_BOUNDARY æ n d WORD_BOUNDARY n ɑ t WORD_BOUNDARY w ɛ ɹ WORD_BOUNDARY p iː p ə l WORD_BOUNDARY p æ s WORD_BOUNDARY b aɪ WORD_BOUNDARY w ɪ ð WORD_BOUNDARY ð ɛ ɹ WORD_BOUNDARY m oʊ t ə ɹ z WORD_BOUNDARY æ n d WORD_BOUNDARY θ ɪ ŋ z WORD_BOUNDARY ð eɪ WORD_BOUNDARY ð eɪ d WORD_BOUNDARY p ʊ t WORD_BOUNDARY ð ɛ m WORD_BOUNDARY s ʌ m w ɛ ɹ WORD_BOUNDARY ʌ p WORD_BOUNDARY ɔ n WORD_BOUNDARY ʌ WORD_BOUNDARY h ɪ l WORD_BOUNDARY oʊ v ə ɹ l ʊ k ɪ ŋ WORD_BOUNDARY ʌ WORD_BOUNDARY s ɪ t i WORD_BOUNDARY s oʊ WORD_BOUNDARY ɜː m WORD_BOUNDARY t ʊ WORD_BOUNDARY ɛ ŋ k ɜː ɹ ɪ d̠ʒ WORD_BOUNDARY ð ɪ WORD_BOUNDARY ɪ n f ɔ ɹ m ə l WORD_BOUNDARY s ɛ k t ə ɹ WORD_BOUNDARY b aɪ WORD_BOUNDARY ɜː m WORD_BOUNDARY s ɔ ɹ t WORD_BOUNDARY ʌ v WORD_BOUNDARY ɔ n WORD_BOUNDARY ʌ WORD_BOUNDARY p ɑ ɹ WORD_BOUNDARY w ɪ ð ð ə WORD_BOUNDARY f ɔ ɹ m ə l WORD_BOUNDARY s ɛ k t ə ɹ WORD_BOUNDARY b ɪ k ʌ z WORD_BOUNDARY ɜː m WORD_BOUNDARY ð ɛ ɹ WORD_BOUNDARY ɪ n t ɜː WORD_BOUNDARY ɹ ɪ æ k t ɪ ŋ WORD_BOUNDARY ɪ n t ə ɹ ɹ ɪ l eɪ t ɪ ŋ WORD_BOUNDARY n aʊ WORD_BOUNDARY l aɪ k WORD_BOUNDARY ð eɪ ə ɹ WORD_BOUNDARY p ɹ ə v aɪ d ɪ ŋ WORD_BOUNDARY t̠ʃ iː p WORD_BOUNDARY ɪ n p ʊ t s WORD_BOUNDARY f ə ɹ ð ə WORD_BOUNDARY f ɔ ɹ m ə l WORD_BOUNDARY ɪ n d ʌ s t ɹ i z WORD_BOUNDARY æ n d WORD_BOUNDARY æ n d WORD_BOUNDARY ð ə WORD_BOUNDARY f ɔ ɹ m ə l WORD_BOUNDARY ɪ n d ʌ s t ɹ i z WORD_BOUNDARY ɑ ɹ WORD_BOUNDARY p ɹ oʊ WORD_BOUNDARY p ɹ ə v aɪ d ɪ ŋ WORD_BOUNDARY k l aɪ ə n t ɛ l WORD_BOUNDARY ɔ l WORD_BOUNDARY f ə ɹ ð ɪ WORD_BOUNDARY ɪ n f ɔ ɹ m ə l WORD_BOUNDARY s ɛ k t ə ɹ WORD_BOUNDARY æ n d WORD_BOUNDARY s oʊ WORD_BOUNDARY ɪ t s WORD_BOUNDARY ɔ l WORD_BOUNDARY ɪ n t ə ɹ l ɪ ŋ k t WORD_BOUNDARY æ n d WORD_BOUNDARY æ n d WORD_BOUNDARY ɪ t s WORD_BOUNDARY ð ɛ ɹ WORD_BOUNDARY n aʊ WORD_BOUNDARY |
It's not going to disappear, cos it's quite a large part of urban areas. | ɪ t s WORD_BOUNDARY n ɑ t WORD_BOUNDARY ɡ oʊ ɪ ŋ WORD_BOUNDARY t ə WORD_BOUNDARY d ɪ s ʌ p ɪ ɹ WORD_BOUNDARY k ɑ s WORD_BOUNDARY ɪ t s WORD_BOUNDARY k w aɪ t WORD_BOUNDARY ʌ WORD_BOUNDARY l ɑ ɹ d̠ʒ WORD_BOUNDARY p ɑ ɹ t WORD_BOUNDARY ʌ v WORD_BOUNDARY ɜː b ə n WORD_BOUNDARY ɛ ɹ iə z WORD_BOUNDARY |
They could do that. | ð eɪ WORD_BOUNDARY k ʊ d WORD_BOUNDARY d uː WORD_BOUNDARY ð æ t WORD_BOUNDARY |
Yes, we want to try and improve resource allocation in the economy and one way of doing that is not necessarily subsidizing agricultural production, but remove the taxes on agricultural growth. | j ɛ s WORD_BOUNDARY w iː WORD_BOUNDARY w ɔ n t WORD_BOUNDARY t ə WORD_BOUNDARY t ɹ aɪ WORD_BOUNDARY æ n d WORD_BOUNDARY ɪ m p ɹ uː v WORD_BOUNDARY ɹ ɪ s ɔ ɹ s WORD_BOUNDARY æ l ə k eɪ ʃ ə n WORD_BOUNDARY ɪ n ð ɪ WORD_BOUNDARY ɪ k ɑ n ə m i WORD_BOUNDARY æ n d WORD_BOUNDARY w ʌ n WORD_BOUNDARY w eɪ WORD_BOUNDARY ʌ v WORD_BOUNDARY d uː ɪ ŋ WORD_BOUNDARY ð æ t WORD_BOUNDARY ɪ z WORD_BOUNDARY n ɑ t WORD_BOUNDARY n ɛ s ɪ s ɛ ɹ ɪ l i WORD_BOUNDARY s ʌ b s ɪ d aɪ z ɪ ŋ WORD_BOUNDARY æ ɡ ɹ ɪ k ʌ l t̠ʃ ə ɹ ɹ ə l WORD_BOUNDARY p ɹ ə d ʌ k ʃ ə n WORD_BOUNDARY b ʌ t WORD_BOUNDARY ɹ ɪ m uː v WORD_BOUNDARY ð ə WORD_BOUNDARY t æ k s ɪ z WORD_BOUNDARY ɔ n WORD_BOUNDARY æ ɡ ɹ ɪ k ʌ l t̠ʃ ə ɹ ɹ ə l WORD_BOUNDARY ɡ ɹ oʊ θ WORD_BOUNDARY |
Alright, and effectively what's, what's happening is that the government sectors in erm, in developing countries are very highly subsidized. | ɔ l ɹ aɪ t WORD_BOUNDARY æ n d WORD_BOUNDARY ɪ f ɛ k t ɪ v l i WORD_BOUNDARY w ʌ t s WORD_BOUNDARY w ʌ t s WORD_BOUNDARY h æ p ə n ɪ ŋ WORD_BOUNDARY ɪ z WORD_BOUNDARY ð æ t ð ə WORD_BOUNDARY ɡ ʌ v ə ɹ n m ə n t WORD_BOUNDARY s ɛ k t ə ɹ z WORD_BOUNDARY ɪ n WORD_BOUNDARY ɜː m WORD_BOUNDARY ɪ n WORD_BOUNDARY d ɪ v ɛ l ə p ɪ ŋ WORD_BOUNDARY k ʌ n t ɹ i z WORD_BOUNDARY ɑ ɹ WORD_BOUNDARY v ɛ ɹ i WORD_BOUNDARY h aɪ l i WORD_BOUNDARY s ʌ b s ɪ d aɪ z d WORD_BOUNDARY |
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Phonemized BabyLM Pre-training Data
This corpus contains the strict portion of the BabyLM 2024 pre-training data converted to phonemes using Corpus Phonemizer. The original orthographic data is also available.
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