Stony Brook Poll # 2004-HLTHB: Health Pulse of America 5, June, 2004
Bibliographic record
Abstract
Most important problem facing this country today (1); most important health problem facing Americans today (1); George W. Bush job performance (4); how closely been following campaign for president so far (1); how closely been following candidates' positions on certain issues in this year's presidential campaign (3); importance of candidates' positions on certain issues in deciding vote for president (3); single most important issue in vote for president this year (1); money spent on health care vs. national defense (1); tax cuts (1); preferred health insurance options (2); favor/oppose government placing limits on what pharmaceutical companies can charge for drugs (1); prescription drugs from Canada (3); trust George W. Bush/John Kerry to do a better job handling health care issues (1); George W. Bush's health care policies (1); John Kerry's health care policies (1); would prefer a job with health coverage and lower salary/higher paying job that lacked any health benefits (1); importance of certain factors in taking a new job (4); satisfaction with certain elements of current job (4); would prefer a pay increase/improved medical coverage in coming year (1); respondent's own health insurance plan (3); worried about health benefits being cut back in coming year (1); worried about losing health insurance coverage in coming year (1); could/could not afford health insurance on own if lost current coverage (1); intention to vote in presidential election this November (1); 2000 presidential election (1); George W. Bush vs. John Kerry (1); in what state/foreign country was respondent born (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 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 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.000 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.006 | 0.004 |
| Insufficient payload (model declined to judge) | 0.613 | 0.380 |
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".