Bibliographic record
Abstract
This is the Summer 2003 issue of SHARP News. SHARP News (ISSN 1073-1725) is the quarterly newsletter of the Society for the History of Authorship, Reading and Publishing, Inc. Set in Adobe Garamond with Wingdings. Editor: Sydney Shep; Book Review Editors: Ian Gadd, Chuck Johanningsmeier; Bibliographer: Padmini Ray Chaudhury. CONTENTS: BIBLIOPHILY EXTRAORDINAIRE; THE SHARP EDGE; CALL FOR PAPERS; UPCOMING UK CONFERENCE; WORKSHOP REPORT; NEH FELLOWSHIP; MUNBY FELLOWSHIP 2004-5; BOOK REVIEWS; GIS WORKSHOP; BIBLIOGRAPHY; SHARP END. This issue includes the following contributions: International Association of Bibliophiles Conference, Cape Town, 2002 (BIBLIOPHILY EXTRAORDINAIRE), by Donald Kerr (pp. 1-2); Crossing the Book History/Publishing Studies Divide (THE SHARP EDGE), by Simone Murray (pp. 3-4); Print Culture & the City, McGill University, Montréal, Can, 26-27 March 2004 (CALL FOR PAPERS) (p. 4); Culture & the Literary Prize, Oxford Brookes University, UK, 4-5 October 2003 (UPCOMING UK CONFERENCE) (p. 4); WORKSHOP REPORT, by John Gouws (p. 5); NEH FELLOWSHIP, by Barbara Hochman (p. 5); MUNBY FELLOWSHIP 2004-5 (p. 5); BOOK REVIEWS, by M.W. Jackson, Kathleen Kamerick, Jane Maienschein, Dorina Miller Parmenter, James McLaverty, Isabelle Lehuu, Marie-Luise Spieckermann, Graham Parry (pp. 6-11); and GIS in the Arts & Humanities, University of Portsmouth, UK, 8-11 September 2003 (GIS WORKSHOP) (p. 11).
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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 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.015 | 0.006 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.006 | 0.005 |
| Insufficient payload (model declined to judge) | 0.614 | 0.559 |
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".