Social Weather Stations Survey [Philippines]: Quarter I, 2003
Bibliographic record
Abstract
Social Weather Surveys are SWS-initiated national surveys of the general Filipino public. Dating from 1986, initially semi-annual and quarterly since 1992, these surveys are meant to supplement, not duplicate, existing government statistics. They include both core indicators monitored regularly and items on contemporary issues. The minimum sample size is 1,200. A standard Social Weather Survey has two questionnaires, one for the household head and one for a random adult. The First Quarter 2003 Social Weather Survey was fielded over March 10 - 25, 2003 throughout the country. It used face-to-face interviews of 1,200 respondents divided into random samples of 300 each in Metro Manila, the Balance of Luzon, Visayas, and Mindanao. Adults, aged 18 years and older, were asked their views on issues such as economics, politics, crime, education, reading habits, socio-demographic characteristics, and other issues of current public interest in the Philippines. The survey also gathers information from household heads about the members of the household and household characteristics. Demographic variables include sex, age, religion, education, marital status, household composition, language uses, and occupation.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.009 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 0.014 |
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".