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Record W2756501139 · doi:10.71781/8814

Cinéma et modernité : le Festival international du film de Montréal de 1960 à 1967, du personnalisme au néonationalisme

2016· dissertation· fr· W2756501139 on OpenAlexfundaboutno aff
Antoine Godin-Hébert

Bibliographic record

VenuePapyrus : Institutional Repository (Université de Montréal) · 2016
Typedissertation
Languagefr
FieldArts and Humanities
TopicFrench Historical and Cultural Studies
Canadian institutionsnot available
FundersMehran University of Engineering and TechnologyMcGill University
KeywordsArtHumanities

Abstract

fetched live from OpenAlex

En 1960, Fernand Cadieux et Pierre Juneau créent le premier Festival international du film de Montréal. Chaque année le Festival a lieu au mois d’août jusqu’à l’Expo 67, événement qui marque à la fois le point culminant et final de cette aventure culturelle. L’histoire de cette institution touche à la culture, au personnalisme, au nationalisme, à la cinéphilie ainsi qu’à l’institutionnalisation et à l’industrialisation du cinéma au Canada et au Québec pendant les années cinquante et soixante. Conçu sous le régime politique de Duplessis par d’anciens membres de la Jeunesse étudiante catholique qui deviendraient presque tous fédéralistes, le Festival constitue un objet idéal d’histoire culturelle propice à étendre la compréhension des origines catholiques de la Révolution tranquille. Au plan culturel, il permet aussi de comprendre plus finement la resynchronisation du Québec dans la trajectoire de la modernité, ainsi que les répercussions du choc entre nationalistes et gauchistes québécois contre libéraux fédéralistes. Ce mémoire permet aussi de découvrir le FIFM comme institution cinématographique québécoise, le réseau d’acteurs et d’établissements qui le soutiennent et l’objet de leur passion : les films. La présente analyse explore la manifestation dans ses dimensions à la fois cinématographique et politique, artistique et historique.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.092
Threshold uncertainty score0.326

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0100.010
Scholarly communication0.0080.002
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0130.000

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.

Opus teacher head0.008
GPT teacher head0.163
Teacher spread0.155 · 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 designNot applicable
Domainnot available
GenreOther

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 routes2
Has abstractyes

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