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Record W228010679 · doi:10.1123/jsm.15.4.364

Intercollegiate Athletics in Canadian Universities: Perspectives on the Future

2001· article· en· W228010679 on OpenAlexaffabout
Karen Danylchuk, Joanne C. MacLean

Bibliographic record

VenueJournal of Sport Management · 2001
Typearticle
Languageen
FieldSocial Sciences
TopicSport and Mega-Event Impacts
Canadian institutionsUniversity of WindsorWestern University
Fundersnot available
KeywordsAmateurCorporate governanceDiversity (politics)Value (mathematics)Political scienceContext (archaeology)Public relationsSport managementPerspective (graphical)SociologyPublic administrationManagementLawGeography

Abstract

fetched live from OpenAlex

As the new millennium begins, we find intercollegiate sport in Canadian universities at a crossroads. Although the Canadian Interuniversity Athletic Union (CIAU), the governing body for university sport in Canada, has a history of recurring issues and challenges, further change is imminent. This paper provides the perspective of two Canadian intercollegiate athletic administrators and sport management academicians on the future of intercollegiate sport in Canada by focusing on five major areas of concern: (a) diversity, (b) governance, (c) funding of athletics, (d) the role and value of athletics, and (e) the changing environmental context of the university. The authors conclude that university sport in Canada will remain embedded within the non-profit, amateur fabric of the Canadian sporting milieu characterized by a participant rather than spectator focus, men's sport domination, decreased funding sources, and pressures to justify its role and value within a rapidly changing environment. The diversity evident throughout the CIAU will continue to have a compelling impact on the organization.

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)0.005
metaresearch head score (Gemma)0.005
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 score0.810
Threshold uncertainty score0.940

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0030.006
Science and technology studies0.0390.016
Scholarly communication0.0180.005
Open science0.0030.006
Research integrity0.0050.004
Insufficient payload (model declined to judge)0.0100.001

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 head0.012
GPT teacher head0.267
Teacher spread0.255 · 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

Citations19
Published2001
Admission routes2
Has abstractyes

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