Bibliographic record
Abstract
In the period 1974-1990 Argentina´s income per capita fell by 25%. A Solow growth decomposition shows that at most one quarter of this fall can be explained by a reduction in the capital/labor ratio. A study of labor reallocation shows that between 1973 and 1993 employment expanded the most in sectors with a declining output per worker and this reallocation of labor explains 44% of the fall in output per worker. We argue that policies that increase the cost of capital may explain these observations. Consider a two sector model where capital/labor substitution is low in the tradable goods sector and high in the non-traded goods one. If the steady state capital stocks falls, labor .ows from the tradable goods sector to the non-traded goods one, leading to a reduction in income per capita, productivity and wages. Thus, policies that increase the cost of capital have a direct e.ect on output through the fall in the capital stock and an indirect e.ect that operates through a reallocation of labor induced by the fall in investment.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".