Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
American Association For Public Opinion Research Annual Membership Meeting The AAPOR annual membership meeting took place on May 20, 2006, at the Hilton Bonaventure Hotel, Montreal, Quebec, Canada. President Cliff Zukin called the meeting to order at 4:20 p.m. There were approximately 90 attendees. President Cliff Zukin welcomed the attendees and introduced the Executive Council members for 2005–2006: Nancy Belden—Past President Rob Daves—Vice President/President Elect Jennifer Rothgeb—Secretary-Treasurer Paul Beatty—Associate Secretary-Treasurer David W. Moore—Conference Chair Patricia Moy—Associate Conference Chair Nancy Mathiowetz—Standards Chair Thomas Guterbock—Associate Standards Chair Brad Edwards—Membership and Chapter Relations Chair Kat Draughon—Associate Membership and Chapter Relations Chair Shapard Wolf—Publications and Information Chair Steve Everett—Associate Publications and Information Chair Susan Pinkus—Senior Councilor-at-Large Robert Shapiro—Junior Councilor-at-Large Cliff Zukin praised the members of the council for their hard work and professionalism, and he particularly thanked those who were concluding their terms on council. Zukin reported on the activities of the...
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.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 it