Social Weather Stations Survey: 2013 Third Quarter
Bibliographic record
Abstract
Self-related poverty (4); food poverty (4); hunger (2); statement card (2); help in the past three months (2); personal financial situation (4); disaster preparedness (2); quality of life trend (1); personal optimism/pessimism (1); optimism/pessimism on the economy (1); pride in being a Filipino (1); satisfaction with the way democracy works (1); democratic vs. authoritarian government (1); following news events (9); awareness and performance rating of President Benigno Aquino III (P-Noy) (1); agree/disagree statements about the actions on P-Noy (4); class interest served by the president (1); seriousness of cronyism in P-Noy’s administration (1); best leader to succeed P-Noy in 2016 (1); reasons for choosing best leader to succeed P-Noy in 2016 (1); reasons for not choosing best leader to succeed P-Noy in 2016 (1); awareness/performance ratings of government officials (23); issues that Senator Cynthia Villar should focus on (1); issues that the Senator Nancy Binay should focus on (1); awareness/performance ratings of government institutions (8); overall performance rating of the present national administration (1); performance rating of the present national administration on specific issues (16); priority development assistance fund (6); Janet Lim Napoles case (5); handling by the administration of the case of former president Gloria Macapagal-Arroyo (PGMA) (1); whether PGMA should stay under house arrest or regular prison (1); live television coverage of the trial of PGMA (1); awareness and trust ratings of selected personalities (9); awareness/trust rating of countries (8); awareness/trust rating of institutions (3); crime victimization (14); trust in local police (3); services that police should focus on (1); Philippines (PH) -China (CN) tension (2); whether the tension with CN will be a big problem for the Filipino oversea Filipino workers (1); increasing United States presence in the PH (1); peace process (2); Moro national liberation front (MNLF) siege of Zamboanga city (1); effect of MNLF Zamboanga city siege on the peace talks with the Moro Islamic Liberation Front (MILF) (1); importance of Nur Misuari in the peace process with the MILF (1); private sector corruption (1); public sector corruption (3); safety at home, in the street (2); agree/disagree too many people addicted to illegal drugs (1); agree/disagree trustworthiness of Muslims (1); agree/disagree police matters (2); agree/disagree freedom of speech (1); agree/disagree whether government listen to ordinary people (1); level of knowledge of the K-12 basic education program (1); opinion on the K-12 basic education program (1); shortage of classrooms (1); quality of teachers, public school education (2); corruption in department of education (1); smoking (16); frequency of drinking alcohol (2); opinions about gay and lesbian individuals (6); satisfaction with daily life (9).
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.018 | 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".