Le traitement du lieu comme instance identitaire dans l’oeuvre de Denis Côté
Bibliographic record
Abstract
L’article propose d’analyser le traitement du lieu en tant qu’espace de construction de soi du personnage à travers l’étude des longs métrages réalisés par Denis Côté. Sont ciblés la nature des personnages et les moyens par lesquels ils se définissent à l’intérieur du cadre par rapport au lieu où ils se situent ainsi que leur capacité à s’adapter, ou non, à celui-ci. On verra comment la nature des lieux, désignés géographiquement mais pourtant d’apparence anonyme, jouera sur la manière dont les personnages se présentent et agissent. Au détriment de la relation entre personnages, la relation personnage-lieu devient le noeud central des films de Denis Côté. En somme, la construction du lieu par Côté précède et détermine la construction du personnage, qui se retrouve subordonné au monde qu’il habite.
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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 | 0.004 |
| 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 | 0.008 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
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".