The problem of income distribution between labor and capital
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 an attempt to quantify the trends in the distribution of income between labor and capital in the modern world. The work used UN data on a set of European countries, countries of the post-Soviet space, Israel, Canada, the USA and Turkey. To assess trends in the distribution of income between labor and capital, linear econometric models built for the dependence of the share of the labor force in GDP on the per capita GDP for each year from 2007 to 2019. The results of modeling the de-pendence of the share of the labor force in GDP on the value of per capita GDP made it possible to establish that the level of explaining the share of the labor force in GDP by the value of per capita GDP is small does not exceed 30%. The relationship between the share of the labor force in GDP and the value of per capita GDP is weakening, the im-pact of per capita GDP on the share of wages in GDP in the modern world is declining obliquely and it can expected that in the short term this influence will cease to be signif-icant.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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