Analisis Faktor-faktor yang Mempengaruhi Produktivitas dan Tingkat Pengangguran di Indonesia
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
This study aimed to analyze the influence (1) education and health on labor productivity in Indonesia. (2) productivity , economic growth , investment , government spending, wages and inflation to the unemployment rate in Indonesia. This study uses simultaneous equation model analysis tools with Two Stages Least Squared method ( TSLS) from the first quarter of 2000 - the fourth quarter of 2011. The research concludes that (1) health education and significant effect on productivity in Indonesia (2) produktivitias , economic growth, investment , government spending, and wages affect Indonesia's unemployment rate significantly. However , no significant effect on the inflation rate of unemployment in Indonesia. Of research. be advised the government needs to improve the quality of education as well as the budget for public health . The government needs to increase income through employment or investment opening in Indonesia, especially in the real sector Keyword : Productivity , unemployment, education, health, economic growth, investment , government spending, wages and inflation .
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 0.018 |
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