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Record W4395459675 · doi:10.1515/9780228020349

Winter Kept Us Warm

2024· book· en· W4395459675 on OpenAlexaboutno aff
Chris Dupuis

Bibliographic record

VenueMcGill-Queen's University Press eBooks · 2024
Typebook
Languageen
FieldEconomics, Econometrics and Finance
TopicCinema and Media Studies
Canadian institutionsnot available
Fundersnot available
KeywordsEnvironmental science

Abstract

fetched live from OpenAlex

Widely considered to be English Canada’s first queer film, Winter Kept Us Warm explores a romance between two young men at the University of Toronto in the early 1960s, a moment when homosexuality was still a crime in Canada. A true student film, Winter was written and directed by David Secter, a twenty-two-year-old English major, shot with amateur actors and a volunteer crew, and completed on a budget of only $8,000. Against the odds, the film was a huge success. Lauded by critics at home and abroad, it was selected to open the Commonwealth Film Festival, played art house cinemas across the United States and Europe, and became the first Anglo-Canadian fiction feature to screen at Cannes. Influential film journals including Sight and Sound and Cahiers du cinéma covered it, as did mainstream publications such as Variety and the New York Times . David Cronenberg has cited it as influential on his own work. Despite this acclaim, the film has largely vanished from the cultural consciousness and few queer people today have even heard of it, let alone seen it. With this new addition to the Queer Film Classics series, Chris Dupuis looks at the disconnect between the film’s historical importance and its subsequent disappearance, examining how the story of Winter Kept Us Warm can serve as a starting point for intergenerational queer dialogue.

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)0.000
metaresearch head score (Gemma)0.001
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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.406
Threshold uncertainty score0.807

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0110.004
Scholarly communication0.0080.003
Open science0.0000.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0370.003

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 head0.021
GPT teacher head0.194
Teacher spread0.173 · 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
Published2024
Admission routes1
Has abstractyes

Explore more

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