Social Weather Stations Survey: 2014 First 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); self-rated poverty (4); food poverty and expenses each month (4); hunger in last three months (2); Nutritional Guidelines for Filipinos (3); Mother's Class on nutrition (2); breastfeeding (5); problems regarding nutrition on mass media (5); effective government programs in reducing hunger (2); disaster preparedness (1); help in last three months (2); financial situation in past three months (4); television (1); radio (1); newspaper (1); computer access (1); primary language used at home (1); job availability (2); video or computer games (1); Autonomous Region in Muslim Mindanao (ARMM) (3); feelings after interview (1); quality of life trend over last twelve months (2); economy of the Philippines (1); news events in past three months (15); President Benigno Aquino III (3); next President of the Philippines (1); job approval of government officials (24); job approval of government institutions (4); performance ratings of present national administration on specific issues (17); reproductive health (4); Janet Lim Napoles scandal (2); former president Gloria Macapagal-Arroyo (3); Moro Islamic Liberation Front autonomous zone agreement in Bangsamoro (10); peace talks with the Moro Islamic Liberation Front (5); trust in public figures (11); awareness and trust of institutions (6); awareness and trust of different countries (6); crime (8); Maguindanao Massacre (3); tobacco usage (14); second-hand smoke (2); smoke-free policies (4); constitution (2); status of Muslims in country (6); news (5); internet use (10); government websites (9); household expenses (4); life satisfaction (1); personal health.
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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 0.007 |
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".