Les conditions et les « scènes » de visibilité médiatique lesbienne et féministe : l’atelier de photographie Plessisgraphe des années 70 et 801
Bibliographic record
Abstract
Quelles étaient certaines des conditions de visibilité lesbienne à Montréal pendant les années 70 et 80 au croisement de la Révolution tranquille, de l’émergence de la libération lesbienne et gaie ainsi que de la deuxième vague féministe? Cet article explore la problématique de la visibilité au coeur de la pensée et de l’expérience lesbienne et des femmes queer , se basant sur le cas de l’atelier de photographie Plessisgraphe. En ayant recours aux ressources épistémologiques et méthodologiques des études de la culture visuelle, l’auteure se penche sur les pratiques de deux photographes lesbiennes-féministes qui ont contribué à la visibilité lesbienne au sein d’un réseau culturel et médiatique féministe montréalais.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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; both teacher heads agree on what is shown here.
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".