Does the distribution of income between labor and capital affect economic growth?
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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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".