Social Weather Stations Survey: 2014 Second Quarter
Bibliographic record
Abstract
Area in Philippines (1); class of dwelling (1); household facilities (12); looking for employment (6); occupation (1); wage increase in past three months (1); type of employment (1); normal working hours per day in past week (3); minimum wage (1); live abroad (1); finding a job (2); working abroad (3); call center (2); self-rated poverty (4); food poverty and expenses each month (4); hunger in last three months (2); assistance in last three months (2); spending in last three months (12); television (1); radio (1); newspaper (1); computer access (1); primary language used at home (1); job availability (2); video or computer games (1); quality of life trend over last twelve months (2); economy of the Philippines (1); news events in past three months (12); President Benigno Aquino III (3); next President of the Philippines (7); job approval of government officials (26); job approval of government institutions (9); performance ratings of present national administration on specific issues (17); Moro Islamic Liberation Front autonomous zone agreement in Bangsamoro (4); trust in public figures (9); Priority Development Assistance Fund scandal (28); awareness and trust of institutions (5); awareness and trust of different countries (8); President Barack Obama state visit (2); tension between China and the Philippines (2); police (6); crime (19); Maguindanao Massacre (3); power failures (3); United States military (3); life satisfaction (1); pride in being a Filipino (1); exercise (1); weight (1); taxes (1); decent wages (2); Philhealth health insurance program (1).
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 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 | 0.028 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.007 | 0.003 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.005 | 0.002 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.209 | 0.174 |
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; both teacher heads agree on what is shown here.
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".