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Record W4403566527 · doi:10.21463/shima.234

The Beluga Triangle: Pour la suite du monde (1962), New Quebec Cinema, and the urban/rural dialectic

2024· article· en· W4403566527 on OpenAlexaboutno aff
Anthony Kinik

Bibliographic record

VenueShima · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsMovie theaterHumanitiesGeographyDialecticArtSuiteCartographyArt historyArchaeologyPhilosophy

Abstract

fetched live from OpenAlex

One of the most celebrated documentaries to emerge from Quebec during the 1960s was Pierre Perrault and Michel Brault’s cinéma vécu classic Pour la suite du monde (1962). This intimate portrait of life on Île-aux-Coudres, an island in Eastern Quebec that sits in the Saint Lawrence River, is generally understood as a work of salvage ethnography. The filmmakers encouraged the island’s inhabitants to take up traditional practices that had long fallen by the wayside and had to be learned from the community’s elders: the hunt of the beluga whale. I’d like to reconsider this film as a work that is not only based on a dialectical tension between the city and the country, but also on tensions between three island formations: Île aux Coudres, Montreal, and New York City. The Montreal connection had to do with the project’s filmmakers and the studio that produced it, while New York came into play late in the film when a beluga whale was transferred to the New York Aquarium. Among other concerns, the foundational myths of all three islands are based on stories of First Contact between European settlers and Indigenous peoples, and, thus, this aspect of Perrault’s film is intensified if we take this approach.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.111
Threshold uncertainty score0.804

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0220.011
Scholarly communication0.0090.003
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0140.001

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 head0.006
GPT teacher head0.219
Teacher spread0.214 · 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
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
Published2024
Admission routes1
Has abstractyes

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