Indonesia Economic Quarterly, June 2009 : Weathering the Storm
Why this work is in the frame
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Bibliographic record
Abstract
Indonesia's slowdown has come \n relatively later and been more moderate than for many \n countries but the adverse effects of the global economic \n slowdown are now playing out. Gross Domestic Product (GDP) \n growth slowed in the fourth quarter of 2008 and into the \n first quarter of 2009, to 4.4 percent year-on-year, from 6.4 \n percent in the year to the third quarter. For 2008 as a \n whole the Indonesian economy expanded by 6.1 percent, only \n slightly below 2007's 6.3 percent pace. Nevertheless, \n all sectors of the economy were impacted during the period \n of peak turbulence in global financial markets in late 2008. \n Into the first quarter of 2009 externally focused sectors \n continued to be especially impacted by the global slowdown, \n while domestic demand rebounded on buoyant consumer \n confidence, stable retail prices and renewed investor \n confidence. Agriculture was a notably strong sector, with \n agricultural production increasing by 4.8 percent in 2008, \n the fastest growth since 1992. While agriculture now \n accounts for 14.4 percent of total output it continues to \n provide most or all of the support for 42 percent of \n households. Although Indonesia's direct exposure to \n troubled American and European-domiciled banks is limited, \n Indonesian bankers became more conservative in line with \n tightening global financial conditions. Far fewer new loans \n are being approved, and anecdotal reports suggest that some \n new customers have had difficulty accessing credit. While \n inter-bank lending has been improving and there is \n sufficient overall rupiah liquidity in the system, it is not \n evenly distributed with larger banks typically liquid and \n smaller banks facing problems. Nevertheless banking sector \n indicators continue to be relatively robust, and the \n nation's largest banks reported higher net profits in \n the first quarter of 2009.
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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 | 0.012 | 0.000 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.015 | 0.004 |
| Research integrity | 0.001 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 0.034 |
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