Germain Lacasse, Le Bonimenteur de vues animées. Le Cinéma « muet » entre tradition et modernité. Québec/Paris, Nota Bene/Méridiens Klincksieck, 2000, 229 p.
Bibliographic record
Abstract
Avant de rendre compte de l'ouvrage de Germain Lacasse, nous devons dire deux mots de la collection « du cinema » dirigee par Andre Gaudreault. Ce dernier, chercheur quebecois passionne, anime depuis 1996 une collection tres interessante coeditee par la France et le Quebec. Les quatre ouvrages parus avant celui de Germain Lacasse, et le nouveau volume publie depuis, sont malheureusement difficiles a trouver dans les librairies francaises. Il est plus facile d'acheter ces livres au Canada qu'e...
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.009 | 0.008 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.015 | 0.003 |
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".