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Record W4233912124 · doi:10.32920/ryerson.14653578

Rooting for the home team: the Canadian Broadcasting Corporation and Canada's national sports culture

2021· preprint· en· W4233912124 on OpenAlexaboutno aff
Michael Novis

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldSocial Sciences
TopicSports, Gender, and Society
Canadian institutionsnot available
Fundersnot available
KeywordsCorporationIce hockeyMedia studiesBroadcasting (networking)Political sciencePsycheNarrativePoliticsSociologyPublic relationsAdvertisingLawBusinessArtPsychology

Abstract

fetched live from OpenAlex

As a cultural institution, the Canadian Broadcasting Corporation (CBC) is meant to connect Canadian citizens from coast-to-coast in ways that would otherwise be impossible. With regards to the collective memory of Canadians, it is thus imperative to address the media narrative that has undoubtedly assisted in the construction of a 'national psyche' in Canada. Following interpretive logics of inquiry, this intrinsic case study will explore the creation of a national sports culture in Canada, and how it has manifested through the CBC's broadcast television operation. In particular, the primary objective is to analyze the position of the CBC in the cultural production of hockey in Canada. By exploring the CBC's television program Hockey Night in Canada this paper strives to better understand how hockey has emerged as a social phenomenon, and how identity-building organizations such as the national broadcaster· have institutionalized hockey lore and tradition in Canadian culture. Through Canada's obsession with the sport of hockey it may be possible to better understand the dynamics at play in the nation's cultural, socio-political and economic realms.

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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.138
Threshold uncertainty score0.999

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0270.016
Scholarly communication0.0120.002
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.000

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 head0.038
GPT teacher head0.282
Teacher spread0.244 · 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

Citations0
Published2021
Admission routes1
Has abstractyes

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