QUARTERLY OUTLOOK ON MONETARY, BANKING, AND PAYMENT SYSTEM IN INDONESIA: QUARTER IV, 2016
Bibliographic record
Abstract
The Indonesian economy recorded development in Quarter 4, 2016. The growth increased with more sound macroeconomic and financial system stability. The growth was supported by the growth of household consumption, better performance of investment, and the raise of export. On the other hand, the macroeconomic stability is well maintained as reflected on lower inflation, decreasing current account deficit, and stable Rupiah against foreign exchange. Domestic economy improves in accordance with the lower global financial risk and provides room for easing monetary policy on Quarter IV, 2016. The central bank lower the policy rate is well transmitted and is expected to strenghthen the growth momentum of economy ahead. Looking forward however, we still have to keep an eye on several external and domestic risks. For these reasons, Bank Indonesia keeps strengthening its monetary and macroprudential policy mix, and its coordination with the government in order to maintain the macroeconmoic stability, supporting the growth, and accelerate the structural reforms.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".