Feminist Collections, v.17, no.3-4 (spring-summer 1996)
Bibliographic record
Abstract
Contents: FROM THE EDITORS. \nBOOK REVIEWS: Contesting Culture: Gender Interests and Strategies of Resistance, \nby 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. \nFEMINIST VISIONS: WOMEN IN TRANSITION: PERSPECTIVES FROM THE CHIPPEWA VALLEY, by Sarah Harder. \nCOME ON, JOIN THE CONVERSATION!: 'ZINES AS A MEDIUM FOR FEMINIST DIALOGUE AND COMMUNITY BUILDING, by Angela Richardson. \nCOMPUTER TALK: Compiled by Linda Shult. \nFEMINIST PUBLISHING. \nWISCONSIN BIBLIOGRAPHIES IN WOMEN'S STUDIES. \nNEW REFERENCE WORKS IN WOMEN'S STUDIES: Reviewed by Phyllis Holman Weisbard (with contributions by Margery \nKatz and Linda Krikos). \nPERIODICAL NOTES: Compiled by Linda Shult. \nITEMS OF NOTE: Compiled by Renee Beaudoin. \nBOOKS RECENTLY RECEIVED. \nSUPPLEMENT: Index to Vo1.17.
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.050 | 0.004 |
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; both teacher heads 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".