Bibliographic record
Abstract
THE ESSENTIAL PATIENT HANDBOOK: GETTING THE HEALTH CARE YOU NEED-FROM DOCTORS WHO KNOW. Ettinger, Alan B., and Weisbrot, Deborah M. New York: Demos Medical Publishing, 2004. 288p. 2004-008479. ISBN 1-932603-02-6. $19.95. Reviewed by Mark Spasser. A FIELD GUIDE FOR SCIENCE WRITERS: THE OFFICIAL GUIDE OF THE NATIONAL ASSOCIATION OF SCIENCE WRITERS. 2ND ED. Blum, Deborah; Knudson, Mary; and Henig, Robin Marantz, eds. New York: Oxford University Press, 2006. 321p. ISBN 0-19-517499-2. $18.95. Reviewed by Stacy Wiggins Rideout. HANDBOOK OF NEUROLOGIC RATING SCALES. 2ND ED. Herndon, Robert M. New York: Demos Medical Publishing, Inc. 2006 441p. ISBN 1-888799-92-7. $145.00. Reviewed by Margaret Vugrin. LAST ONE OUT TURN OFF THE LIGHTS: IS THIS THE FUTURE OF AMERICAN AND CANADIAN LIBRARIES? Cleyle, Susan E., and McGillis, Louise M., eds. Lanham, MD: Scarecrow Press, 2005. 227p. ISBN 0-81085192-X. $45.00 Reviewed by Rose M. Jackson. THE SUCCESSFUL ACADEMIC LIBRARIAN: WINNING STRATEGIES FROM LIBRARY LEADERS. Gregory, Gwen Meyer, ed. Medford, NJ: Information Today, Inc., 2005. 231p. ISBN 1-57387-232-6. $39.50. Reviewed by Rose M. Jackson. YAHOO! TO THE MAX: AN EXTREME SEARCHER GUIDE. Hock, Randolph. Medford, NJ: Information Today, Inc., 2005. 232p ISBN: 0-910965-69-2. $24.95. Reviewed by Andrea Y. Griffith.
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 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.528 | 0.524 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".