Représentations filmiques de lesbiennes/queers issues de la diaspora indienne en Occident
Bibliographic record
Abstract
Devant l’explosion des représentations filmiques des pratiques et identités sexuelles non normatives qui caractérise actuellement la sphère cinématographique, la présente étude, dotée d’outils théoriques et méthodologiques issus de la sociologie du cinéma, des cultural studies et de l’approche féministe intersectionnelle, investit analytiquement trois longs métrages de fiction de narration conventionnelle dont des lesbiennes/ queers d’origine indienne en Occident, aux positionnements partiellement minoritaires sur les axes de division sociale que sont le sexe, la race et l’ethnicité, et la sexualité, occupent le devant et le derrière de la caméra : Chutney Popcorn (Nisha Ganatra, 1999), Nina’s Heavenly Delights (Pratibha Parmar, 2007), et I Can’t Think Straight (Shamim Sarif, 2008). Bref, l’objectif principal de ce mémoire est d’exposer les conceptualisations des expériences et subjectivités queers privilégiées par ce régime particulier de représentations, puis d’évaluer dans quelles mesures et de quelles manières il reproduit et déstabilise celles de discours académiques, activistes et nationaux postcoloniaux qui circulent internationalement.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.013 | 0.009 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.005 |
| Insufficient payload (model declined to judge) | 0.013 | 0.001 |
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".