Indonesia Economic Quarterly, July 2015 : Slower Gains
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
Midway through 2015, Indonesia remains \n confronted with an uncertain external environment, and \n domestic economic policy challenges have intensified. GDP \n decelerated to below 5 percent in the first quarter and \n private consumption expenditure, Indonesia’s engine of \n growth in recent years, is also slowing. Weaker growth has \n resulted in slower job creation, with recent employment \n rising only just enough to absorb the increase in working \n age population. While the commodity downturn since 2012 and \n policy response have affected output growth the most in \n resource-rich provinces, employment creation has come under \n pressure across Indonesia. Yet the scope for policy stimulus \n is limited and monetary policy in particular is constrained \n due to sticky inflation and persistent external vulnerabilities.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 0.004 |
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