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Record W3101724709 · doi:10.18146/tmg.648

Comparison of Canadian Urban and Small-town Exhibition Practices 1914-1929

2020· article· en· W3101724709 on OpenAlexaffabout
Jessica Leonora Whitehead

Bibliographic record

VenueTMG Journal for Media History · 2020
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicCinema and Media Studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsExhibitionHollywoodMovie theaterPeriod (music)GeographyVariance (accounting)NewspaperHistoryVisual artsEconomic geographyMedia studiesArt historySociologyArtAestheticsBusiness

Abstract

fetched live from OpenAlex

Because of Canada’s geographic location, the business of film exhibition has always been tied to the United States and ultimately controlled by Hollywood. In order to understand the historical cinematic experience of Canadians in different regions, this paper seeks to compare opening playdates in urban Canada to the northern mining community in Timmins, Ontario from 1914 to 1929, a pivotal period during which Paramount controlled Famous Players came to dominate both film exhibition and distribution in the country. I also analyse holiday programming at Christmas and Easter during this same time period. My analysis demonstrates that there was a variance of film premiere dates throughout urban Canada. This article also shows that even though small towns like Timmins had films much later than urban locations they were still able to create a unique cinema culture through special programming during holidays that was unique from other locations in Canada.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.046
Threshold uncertainty score0.331

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.006
Science and technology studies0.0070.002
Scholarly communication0.0030.000
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0100.000

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 head0.179
GPT teacher head0.275
Teacher spread0.096 · 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 designObservational
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

Citations1
Published2020
Admission routes2
Has abstractyes

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