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Record W1992342752 · doi:10.1080/17430437.2013.785751

‘Making the pros pay’ for amateur sports: the Ontario Athletic Commission, 1920–1947<sup>†</sup>

2013· article· en· W1992342752 on OpenAlexaffabout
Bruce Kidd

Bibliographic record

VenueSport in Society · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsAmateur sportsAmateurState (computer science)CorporationCommissionPoliticsLegitimationLeagueSubsidyPolitical sciencePublic administrationLegislatureState legislatureLaw

Abstract

fetched live from OpenAlex

The capitalist sports-media complex is heavily subsidized in many countries. Teams, leagues and their corporate partners enjoy state-donated land and stadia, favourable tax rates, legislative and judicial relief from antitrust requirements, the player and fan development systems of state-supported playgrounds, schools, colleges and universities, and the legitimation of public ceremonies. They claim these benefits on the basis of the economic spin-offs they generate and the ‘branding’ of cities and regions they headline. But in an earlier political tradition these expectations were reversed. Both sports entrepreneurs and professional athletes were expected to contribute financially to the development of amateur and community sport, on the grounds that it is these programmes that train the players and educate the fans on which capitalist sport depends. One such example was the tax on professional sport levied during the interwar years by the Ontario Athletic Commission (OAC), the subject of this paper. The OAC was the very first state sports body in Canada, and in many ways it set the mould for the state-directed and state-financed programmes of the federal and provincial governments today, although the tax on professional sports no longer exists. The paper was written in 1994, while I was still a member of the board of the publicly owned Stadium Corporation of Ontario, which operated Toronto's SkyDome.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.359
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.020
GPT teacher head0.254
Teacher spread0.234 · 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 teacher head, not a consensus.

Study designNot applicable
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
Published2013
Admission routes2
Has abstractyes

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