« Dans le métro, on n’est pas lesbiennes ». Rendre compte des violences lesbophobes dans les transports par un documentaire : <i>Visibles</i>
Bibliographic record
Abstract
Dans le documentaire Visibles , coréalisé en 2022 par Manon Marguerit et Félix Cardoso, huit couples de lesbiennes évoquent les violences qu’elles subissent dans les transports en commun franciliens. Dans son article, l’autrice revient sur les conditions de production du documentaire et sur les choix de mise en scène. Ces éléments apportent un éclairage nouveau sur la façon dont les transports en commun intensifient les violences lesbophobes. Par des entretiens et des itinéraires filmés, les transports sont donnés à voir comme des espaces d’enfermement qui favorisent les « stigmatisations verbales » à l’égard des lesbiennes. Ils apparaissent également comme un espace où se déploie leur agentivité : les couples produisent une performance de visibilité que le documentaire restitue dans le contexte d’une mise en scène autour de la notion d’autonomisation.
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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.018 | 0.011 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.018 | 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".