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Record W4406044803 · doi:10.1525/9780520402775-020

17. Chronicling a National History: Hye Bossin’s Canadian Film Weekly and Year Book

2025· book-chapter· en· W4406044803 on OpenAlexfundaboutno aff

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldEconomics, Econometrics and Finance
TopicCinema and Media Studies
Canadian institutionsnot available
FundersUniversity of TorontoQueen's UniversityMcGill University
KeywordsPolitical scienceHistoryGender studiesSociology

Abstract

fetched live from OpenAlex

Canada's motion picture history began outside Canada, " Hye Bossin (1906-64) stated in a foundational primer on the subject. 1 That statement is as true for today's historians of the Canadian film industry as it was when Bossin published a chronicle of the nation's film history in the first Year Book of the Canadian Motion Picture Industry (1951-70).The effort was an offshoot of Canadian Film Weekly (1942-70), one of Canada's two pioneering film trade publications.Film Weekly later incorporated its rival, Canadian Moving Picture Digest (1917-57), bringing both branches of Canadian film trade press under a single umbrella, edited by Bossin.For too long, Canadian Film Weekly and Canadian Moving Picture Digest remained stranded outside the Media History Digital Library (MHDL).Earliest editions were not collected by Canadian libraries in the first place, and microfilmed copies of early volumes relied upon orphaned issues archived in the New York Public Library.These copies were digitized in 2015 and deposited to HathiTrust via Google Books.For almost a decade they have been available to researchers in the United States, but, in a cruel paradox, they are geo-blocked from access by researchers in Canada in an overreach of copyright precaution.The global task force of the MHDL has thankfully liberated some of those volumes and we have recently digitized several privately held partial collections.Thankfully, the Canadian branch of the MHDL is no longer only a hypothetical entity.Nonetheless, relying on US institutions to tell our own stories is a lamentably familiar tale. 2 As I have argued elsewhere, Hollywood consistently viewed Canada as just another US regional exchange territory, treating Toronto the same as Cleveland or Dallas.3 Routines in film distribution followed established circuits for stage, vaudeville, and music, which integrated Canadian theaters into US

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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.079
Threshold uncertainty score0.391

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.005
Science and technology studies0.0140.003
Scholarly communication0.0080.003
Open science0.0010.001
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0790.010

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 head0.033
GPT teacher head0.197
Teacher spread0.164 · 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
Published2025
Admission routes2
Has abstractno

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