Bibliographic record
Abstract
June Levine nat en 1932 Dublin, d'une mre catholique et d'un pre juif. Elle hrite d'emble d'une double culture fortement ancre dans des traditions patriarcales. Aprs avoir pous un jeune tudiant en mdecine, elle quitte Dublin pour le Canada o elle s'installe et fonde une famille. Lentement et imperceptiblement, elle sombre dans une profonde dpression. A cette poque, Betty Friedan publie The Feminine Mystique. Elle y dcrit les souffrances endures par des femmes intelligentes et ambitieuses, enfermes dans la cage dore du mariage. June lit ce livre sans, de son propre aveu, forcment bien en comprendre les enjeux. Mais elle se rend nanmoins compte que sa vie ne peut se limiter tre une bonne pouse et une bonne mre. Aprs une hospitalisation, au cours de laquelle elle subit lectrochocs et traitements l'insuline, elle rentre en Irlande avec ses trois enfants mais sans son mari.
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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.023 | 0.010 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.008 |
| Insufficient payload (model declined to judge) | 0.012 | 0.003 |
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".