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Record W4249409945 · doi:10.32920/ryerson.14662791.v1

In limited release : the political economy of the Canadian motion picture distribution system

2021· preprint· en· W4249409945 on OpenAlexaboutno aff
Nicholas L. Mills

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEconomics, Econometrics and Finance
TopicCinema and Media Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHollywoodFilm industryNegotiationPoliticsStudioDistribution (mathematics)Power (physics)Movie theaterPreferencePolitical economyMarket economyEconomyEconomicsPolitical scienceEconomic systemArtLawVisual arts

Abstract

fetched live from OpenAlex

Canadian motion pictures face a unique challenge when it comes to reaching a domestic theatrical audience. In fact roughly 96 percent of the annual screen time of Canadian theatres is occupied by foreign-produced, mostly American, films. This thesis recognizes that the motion picture distributor in particular the Hollywood studio firm, holds the balance of power in the Canadian film industry. Using a political and economy framework, this thesis identifies five unique channels of distribution within the Canadian motion picture distribution system and through historical analysis, investigates the political and economic motivations behind their formation. The results of this analysis reveal that because the industry's distribution structure was negotiated between political and corporate actors under asymmetrical conditions of power, it places limitations upon the exchange of cultural resources across and within borders, restricts intra-industry firm-level negotiations, and perpetuates the dominant market preference for Hollywood films and the underperformance of domestic films within the Canadian marketplace.

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)0.002
metaresearch head score (Gemma)0.012
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: none
Teacher disagreement score0.056
Threshold uncertainty score0.409

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0060.003
Scholarly communication0.0080.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0260.001

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 head0.021
GPT teacher head0.201
Teacher spread0.180 · 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

Citations0
Published2021
Admission routes1
Has abstractyes

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