Bibliographic record
Abstract
MORAL TALES FROM THE MONTREAL WORLD FILM FESTIVAL The Competition selection of the 32nd Montreal International Film Festival (21 August – 1 September 2008) featured twenty fiction films, at least one third of which were well-crafted exemplars of mainstream "cinema of quality" in the best sense of the term. In a way, films like Faubourg 36, Farewell Gulsary, Welcome to Farewell-Gutmann, The Necessities of Life, and to a great extent, Theo's Voyage, seek to update or popularize the stylistic or genre traditions they are made in, whether national or international, without shunning from emotions that often venture into the melodramatic and even the sentimental, or from predictable plot twists meant to keep the viewers both on edge and to please their instinct for imitation, and of anticipated reversals and recognition as Aristotle would have it. Beneath and beyond the emotional excess, displayed in these films, "there lies," as...
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.006 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.360 | 0.066 |
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".