February 2007 2006 GDP Growth Falls Short of Target Outlook for 2007, Promising
Bibliographic record
Abstract
The domestic economy expanded by 5.4 percent in 2006, a percentage point below the government’s 5.5 percent GDP growth target for the year. Typhoons Milenyo, Paeng and Reming which ravaged the country in the latter part of the year pulled down the 4 th quarter growth to only 4.8 percent. Nevertheless, the agricultural sector still fared better in 2006 registering a growth rate of 4.1 percent compared to 1.8 percent in 2005. Industry, in contrast, grew at a slower pace mainly due to the slump in mining and quarrying. The services sector’s growth likewise weakened, from 6.4 percent to 6.3 percent, with the trade, communications and finance sectors experiencing slight slowdown compared to 2005. In 2006, the Philippines remained at the tailend of other Asian economies, outperforming only Thailand in terms of GDP growth.
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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 | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 0.015 |
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".