The Relationship between Labor Productivity and Economic Growth in OECD Countries
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
In the course of globalization, the countries entered into an intense competition between each other. In order to achieve the competitive advantage, countries pay significant importance to the technological advancements. By improving the productivity, the technological innovations and developments allow the countries to make production at lower costs. The increase in factor productivities would enable higher levels of output in the economy. Since the factor productivity influences many other factors and the developed countries meet these criteria better than developing countries do, the factor productivities are higher in developed countries, when compared to those in developing countries. For this reason, in this study, the relationship between labor productivity, which is a partial factor productivity, and economic growth in seven OECD countries for the period between 2008 and 2014 by utilizing the panel data analysis method. According to the test results, we find a unidirectional causality relationship from economic growth to labor productivity.
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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 | 0.001 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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