Thai junta's 2015 growth forecast to prove optimistic
Bibliographic record
Abstract
Subject 2015 economic outlook. Significance According to the Ministry of Finance's Fiscal Policy Office, GDP growth slowed to between 1.2% and 1.7% in 2014 from 2.9% in 2013. Data released by the Bank of Thailand on December 30 suggest that the final figure is likely to be at the lower end of the range. Recovery in the fourth quarter was modest (at an estimated 1.0%) against 0.6% in the third. The military-backed government forecasts 4.1% GDP growth this year, assuming more tourists, higher domestic demand, export growth and rapid implementation of infrastructure plans. Impacts Sluggish growth will intensify calls for elections, but the junta will not relent, especially until the royal transition has been secured. The 2014 coup may not be the last; this will maintain the long-term contractual risks for investors. Political instability could return by end-2015, dampening household consumption.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.063 | 0.041 |
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".