Bibliographic record
Abstract
Indonesia posted a current account deficit (CAD) of United States dollars (USD) 8.4 billion in Q2 2019, up from USD 7.0 billion in Q1. On a four-quarter rolling sum basis, the CAD remained unchanged from Q1 at 3.1 percent of gross domestic product (GDP). The goods trade account posted a smaller surplus of USD 0.2 billion compared to USD 1.2 billion in Q1. Although imports contracted, exports contracted more partly because of lower prices of key commodities. Meanwhile, both services and income account deficits widened in Q2. The financial account surplus narrowed to USD 7.1 billion in Q2 from USD 9.9 billion in Q1, on the back of lower foreign capital inflows in the form of lower portfolio inflows and larger outflows of other investments. The latter was due to large external debt repayments of both private and government debt. Indonesia’s overall balance of payments (BoP) returned to a deficit of USD 2.0 billion in Q2 from a surplus in the previous two quarters, which led foreign reserves to decline to USD 123.8 billion in Q2 from USD 124.5 billion in Q1.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.156 | 0.172 |
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".