Feminist Collections, v.17, no.3-4 (spring-summer 1996)
Bibliographic record
Abstract
Contents: FROM THE EDITORS. BOOK REVIEWS: Contesting Culture: Gender Interests and Strategies of Resistance, by Sharon Tiffany. "Get Used to the Noise. The Next Generation is Coming," by Amy Shepherd. Exiles, Immigrants, and Refugees: Women Making Choices, by Ivette Valdes. FEMINIST VISIONS: WOMEN IN TRANSITION: PERSPECTIVES FROM THE CHIPPEWA VALLEY, by Sarah Harder. COME ON, JOIN THE CONVERSATION!: 'ZINES AS A MEDIUM FOR FEMINIST DIALOGUE AND COMMUNITY BUILDING, by Angela Richardson. COMPUTER TALK: Compiled by Linda Shult. FEMINIST PUBLISHING. WISCONSIN BIBLIOGRAPHIES IN WOMEN'S STUDIES. NEW REFERENCE WORKS IN WOMEN'S STUDIES: Reviewed by Phyllis Holman Weisbard (with contributions by Margery Katz and Linda Krikos). PERIODICAL NOTES: Compiled by Linda Shult. ITEMS OF NOTE: Compiled by Renee Beaudoin. BOOKS RECENTLY RECEIVED. SUPPLEMENT: Index to Vo1.17.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.244 | 0.109 |
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".