Does the distribution of income between labor and capital affect economic growth?
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The work is devoted to obtaining quantitative estimates of the impact of the dis-tribution of income between labor and capital on the rate of economic growth in the modern world. We used UN data on a set of European countries, post-Soviet countries, Israel, Canada, the USA and Turkey. To assess the impact of the distribution of income between labor and capital on economic growth rates, linear econometric models of the dependence of economic growth rates on the share of labor force in GDP by years of the period from 2007 to 2019 built. The obtained results showed that the relationship between the rates of economic growth and the share of labor force in GDP in the mod-ern world is not significant, the influence of the share of labor force in GDP on econom-ic growth is negative, but declining obliquely, in recent years it has become insignificant. it can be expected that in the 2020s this influence may become positive. Outpacing wage growth rates can help increase labor productivity and accelerate economic growth in the transition to a post-industrial economy.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 it