QUARTERLY ANALYSIS: The Progress of Monetary, Banking and Payment System Quarter II - 2011
Bibliographic record
Abstract
The Board of Governors Meeting (Rapat Dewan Gubernur/RDG) of Bank Indonesia on 12 April 2011 has decided to maintain the BI rate by 6.75%. This decision does not change the direction of Bank Indonesia»s monetary policy which tends to be strict in an effort to control the inflationary pressures that are still high, amid the government efforts to reduce inflationary pressure from volatile foods group. The Board of Governors considered that the strengthening of the rupiah so far can reduce these inflationary pressures, particularly from the rising price of international commodities (imported inflation). In addition, to minimize the negative impact of short-term foreign capital flows on monetary stability and financial system, the Board of Governors also has decided to replace the one-month holding period on SBI to six-month holding period, which shall take effect on May 13, 2011. Looking ahead, Bank Indonesia assessed that the possibility of the BI rate level adjustment is still open to dampen the incoming inflationary pressures. Bank Indonesia believed that the implementation of monetary and macro-prudential policy mix, supported also by the strengthened coordination of government policy, will be able to maintain the macroeconomic stability and bring inflation to the target, which are 5% ± 1% in 2011 and 4.5% ± 1% in 2012.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.003 |
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 source (direct Gemma or distilled Codex), 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".