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Les mythes américains au cinéma et en littérature : une dynamique artistique et anthropologique pour le Québec ?

2016· dissertation· W7147333706 on OpenAlexaboutno aff
Anaïs Delieuvin

Bibliographic record

Venuenot available
Typedissertation
Language
FieldSocial Sciences
TopicLiterature, Musicology, and Cultural Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsMythologyThe ImaginaryExoticismIdentity (music)Prehistory

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.044
Threshold uncertainty score0.321

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0110.009
Scholarly communication0.0090.003
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0110.001

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.

Opus teacher head0.015
GPT teacher head0.328
Teacher spread0.312 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2016
Admission routes1
Has abstractyes

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