Pew Research Center Poll: America's Place in the World III Callback
Bibliographic record
Abstract
Leadership role of United States in the world (6); reducing threat of terrorism (1); war on terrorism (2); priorities of possible long-range foreign policy goals which United States might have (24); defense spending (2); sympathize more with Israel/Palestinians (2); U.S. military aid to Israel (1); U.S. should take Israel's side more/less/about as much as it has in the past (1); national missile defense system (4); preventing future terrorist attacks (9); building our defenses at home/taking military action to destroy terrorist networks around the world should get a higher priority now (1); worried about another terrorist attack in United States soon (1); life returning to normal since 9/11 (1); best way for U.S. to avoid problems like terrorism (1); terrorist attacks are start of a major conflict between people of America and Europe vs. people of Islam/only a conflict with a small radical group (1); how closely followed certain news stories this past month (2); watching coverage of terrorism on TV (2); news media have/have not exaggerated danger of anthrax situation (1); how should U.S. determine its foreign policy (2); veteran of armed services (1); 2000 presidential election (1); ever traveled to any countries outside United States besides Canada and Mexico (1); global economy (3).
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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.006 | 0.006 |
| Insufficient payload (model declined to judge) | 0.168 | 0.057 |
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".