Filiation féministe dans <i>Thelma, Louise et moi</i> de Martine Delvaux
Bibliographic record
Abstract
Dans Thelma, Louise et moi (2019), un livre inclassable de Martine Delvaux qui voyage entre l’essai et le récit, est explorée une forme singulière de filiation féministe entre la narratrice et les personnages du célèbre film scénarisé par Callie Khouri. Comment penser la présence insaisissable des personnages du film pour la narratrice, elle qui dans son écriture suit le film et tente de prendre une place dans la Thunderbird ? Comment s’inscrire dans une filiation féminine et féministe, après le « saut dans le vide » qui vient sceller la sororité des protagonistes ? Cet article s’attachera à montrer comment Thelma et Louise sont constituées, dans Thelma, Louise et moi, en tant que compagnes de voyage de l’écriture d’abord, puis compagnes spectrales dans le sillage duquel peut avancer la narratrice.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.010 | 0.006 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".