American myths on screen and in literature : an artistic and anthropological dynamic for Quebec ?
Bibliographic record
Abstract
Les mythes américains génèrent des symboles et des stéréotypes fréquents dans l’imaginaire collectif. Leur usage dans la littérature québécoise exclut toute idéologie, privilégiant l’acte fondateur d’une nouvelle mythologie. Les mythes québécois se sont d’abord distingués de ceux de l’Amérique. Ils ont porté un regard critique sur la globalisation que peut susciter le territoire américain. En élaborant leur littérature nationale, les auteurs québécois de la Révolution tranquille ont formulé d’autres pistes interprétatives autour des mythes américains. L’américanité offre des perspectives anthropologiques fluides à l’adaptation du mythe au cinéma et en littérature. Le mythe tel que le définit Roland Barthes permet une interprétation contemporaine de chaque mythe québécois présenté dans cette étude. Le corpus est donc composé d’œuvres québécoises et étatsuniennes, de films de Denys Arcand et Clint Eastwood, de romans et textes argumentatifs de notre auteur tranquille référent, Jacques Godbout mais aussi de Jacques Poulin, Philippe Aubert de Gaspé, Antonine Maillet, Anne Hébert, Jack Kerouac.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.007 |
| Science and technology studies | 0.023 | 0.020 |
| Scholarly communication | 0.011 | 0.005 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.009 | 0.000 |
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".