“A Voice That Is Not There Otherwise” : An Interview with B. R. Rich (26 June 2012)
Bibliographic record
Abstract
Actuellement Professeur au Film and Digital Media Department de l’Université de Californie à Santa Cruz, où elle enseigne les études cinématographiques et la pratique du documentaire, B. R. Rich a joué, depuis les années 1970, un rôle clé dans la légitimation du cinéma indépendant, qu’il soit américain ou d’autres pays. Elle a également enseigné, entre autre lieux, à l’Université de Berkeley. Militante féministe, elle a commencé sa carrière en tant que programmatrice des événements liés au cinéma au Art Institute of Chicago, puis a travaillé en tant que critique de films au Chicago Reader . Tout en continuant, jusqu’à ce jour, à contribuer régulièrement à diverses publications de la presse grand public autant que de la presse spécialisée, elle a ensuite été directrice du département cinéma du New York State Council of the Arts, ce qui lui a permis de financer expositions, salles, conférences et publications. Elle a participé à la programmation de plusieurs festivals de cinéma tels que celui de Toronto et celui de Sundance. Elle est l’auteur de Chick Flicks : Theories and Memories of the Feminist Film Movement (Duke University Press, 1998) et de New Queer Cinema : The Director’s Cut (Duke University Press, 2013). 1
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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 | 0.007 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.023 | 0.008 |
| Scholarly communication | 0.008 | 0.009 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.007 | 0.013 |
| Insufficient payload (model declined to judge) | 0.008 | 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".