Bibliographic record
Abstract
INTRODUCTIONCannes, like Paris for Hemingway, is a moveable feast. So if the Competition appears somewhat lacking, as it did this year, you spend more time viewing entries in Un Certain Regard. Or you pay a couple more visits to the Quinzaine des Réalisateurs. Or you check out entries at the Semaine Internationale de la Critique. Or you cue up at the Federico Fellini Retrospective to see Claudia Cardinale introduce 8 ½ (Italy, 1963). Or you marvel at Oliver Stone's adroit command of French at his Le Leçon de cinéma, the festival's annual "film master class." Or you relive a moment of Cannes history at a Soirée in memory of the late French producer Daniel Toscan du Plantier in the Salle Debussy, where a large French film delegation turned up for a special screening of Maurice Pialat's Sous le Soleil de Satan, the 1987 Palme d'Or winner produced by...
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.451 | 0.239 |
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".