From Feminism to Postfeminism in Women's Detective Fiction from Spain: the Case of Maria-Antònia Oliver and Alicia Gimémez-Bartlett
Bibliographic record
Abstract
In her paper Questing Women: The Feminist Mystery after Feminism, the Canadian critic Sandra Tome assesses changes apparent from the 1980s to the 1990s in the ideological and conceptual principles underpinning Anglophone female crime fictions, and ascribes them to a shift from authors' allegiance to feminism to the articulation of female experience within a postfeminist economy. Tome summarizes this move by pointing out that Prime Suspect, one of the newer cultural products she analyses, is different from detective fiction modeled after Marcia Muller because it features the woman detective not as a renegade but as an aspiring member of the very institution responsible for her victimization (47), a characteristic, too, of a number of novels she studies. Although Tome works with material written in English and published or produced in Britain or North America, the shifting pattern she observes
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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 | 0.004 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.017 | 0.023 |
| Scholarly communication | 0.012 | 0.002 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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".