Recension de Ethnic Minority Women’s Writing in France : Publishing Practices and Identity Formation 1998-2005. Claire Mouflard. Lexington Books, 2020. 192 p.
Bibliographic record
Abstract
Dans cet ouvrage, Claire Mouflard montre que l’idéal de l’intégration républicaine représenté par le slogan “Black-Black-Beur” mis en avant par les médias et les discours politiques à la suite de la victoire de l’équipe de France masculine de football en 1998, ne s’appliquait pas aux femmes « non blanches » issues de l’immigration. L'autrice poursuit la réflexion par une analyse en profondeur des ouvrages de femmes autrices issues de l'immigration de cette époque. Celles-ci revendiquent plutôt des identités intersectionnelles individuelles ou le refus d’assignation identitaire. Leur désir d’appartenance à la littérature française est redéfini au prisme du manifeste de 2007 publié dans Le Monde « Pour une littérature monde ».
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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.007 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.002 |
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".