Philippines Economic Update, June 2020 : Braving the New Normal
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
A series of unforeseen events caused an \n abrupt halt to the Philippines' strong growth momentum \n in early 2020. The Philippine economy carried its strong \n growth momentum from the second half of 2019 into early 2020 \n thanks to positive consumer confidence, robust macroeconomic \n fundamentals, and an improvement in the external sector. \n However, the eruption of Taal Volcano in early January, the \n spread of the Coronavirus Disease 2019 (COVID-19) outbreak \n in the region, and the rise of COVID-19 infection cases in \n the Philippines in March, forced the economy to a near halt \n in the latter part of March due to severe disruptions in \n manufacturing, agriculture, tourism and hospitality, \n construction, and trade. The economy contracted by 0.2 \n percent year-on-year in the first quarter of 2020, the first \n contraction in over two decades, and was a sharp reversal \n from the 5.7 percent growth over the same period in 2019. \n Leading indicators that track economic activity in real time \n suggest that the contraction would be even more severe in \n the second quarter as most regions of the country entered an \n enhanced community quarantine (ECQ) in mid-March.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.007 | 0.006 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.195 | 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 it