Bibliographic record
Abstract
Cette etude envisage, dans un premier temps, de decouvrir un cineaste quebecois, meconnu en Coree : Michel Brault, qui s’est fraye, dans les annees 60, la nouvelle voie du documentaire, le cinema direct, avant les cineastes americains. Il etait aussi parmi les cineastes quebecois qui ont marque l’âge d’or de l’Office national du film du Canada. Ensuite, a travers l’analyse de son film Les ordres(1974), un des rares films du cineaste jusque-la specialise dans le documentaire, qui se situe a la frontiere entre le cinemade fiction et le documentaire, dit docu-fiction, nous allons voir, dans la perspective des etudes francophones, comment Michel Brault analyse la ‘Crise d’octobre’ du Quebec par rapport aux autres representations de cet evenement historique. Puis cette etude s’orientera vers la forme particuliere de ce film de fiction, qui precede le discours actuel sous l’influence du postmodernisme, sur la nouvelle forme de documentaire appelee ‘mockumentary’ ou ‘prankumentary’, ces derniers se constituant aussi a leur tour par la fiction. Enfin, la signification de la forme de ce film, definie comme para documentaire, sera analysee dans la perspective des etudes d’histoire. En somme, cette etude envisage l’analyse non seulement des valeurs cinematographiques de ce film, mais aussi des diverses valeurs que ce film noue avec divers domaines detudes.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.010 |
| Scholarly communication | 0.011 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.016 | 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".