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Record W2606603166 · doi:10.1177/1748048516689192

Sport and public service in Canada: The roots of the inherent bonds between the Canadian Broadcasting Corporation/Radio-Canada and the Olympic Games

2017· article· en· W2606603166 on OpenAlexaffabout
Philippe‐Antoine Lupien

Bibliographic record

VenueInternational Communication Gazette · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicSport and Mega-Event Impacts
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsOlympiadBroadcasting (networking)SpectaclePublic broadcastingAmateurCorporationAdvertisingCompetition (biology)Public serviceService (business)Political scienceMedia studiesCommercial broadcastingSociologyPublic relationsHistoryBusinessLawMarketing

Abstract

fetched live from OpenAlex

This article outlines the evolution of sports broadcasting on Canadian television, focusing on the broadcast of the Olympic Games. I argue that history of the Olympics on national television exemplifies the evolution of the idea of public service television in Canada. Specifically, it reflects the delicate balance between the nation’s public and private broadcasters, whose relationship extends far beyond mere competition. The public service raison d’être and mission have nonetheless been called into question throughout the development of television. Incidentally, the values of the Olympic movement were also called into question in this period, during which the Games evolved from an all-amateur Olympiad to a fully commercial spectacle designed for (and by) television.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.831
Threshold uncertainty score0.963

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.006
Science and technology studies0.0180.020
Scholarly communication0.0110.003
Open science0.0010.004
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0090.000

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 head0.050
GPT teacher head0.286
Teacher spread0.236 · 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 designQualitative
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

Citations7
Published2017
Admission routes2
Has abstractyes

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