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Record W2080120325 · doi:10.1504/ijsmm.2007.013710

Change and grassroots movement: reconceptualising women's hockey governance in Canada

2007· article· en· W2080120325 on OpenAlexaffabout
Carly Adams, Julie Stevens

Bibliographic record

VenueInternational Journal of Sport Management and Marketing · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicSport and Mega-Event Impacts
Canadian institutionsBrock UniversityWestern University
Fundersnot available
KeywordsGrassrootsCorporate governanceContext (archaeology)Political scienceGender studiesPublic relationsSociologyLawGeographyPoliticsManagement

Abstract

fetched live from OpenAlex

In Canada, female hockey governance structures vary as different regions of the country may better suit integrated or partially-integrated governance approaches based upon their unique local histories and individual dynamics. Indeed, the Ontario Women's Hockey Association (OWHA) is the only female hockey provincial association in Canada that endorses and endeavours to maintain a separatist philosophy. However, women's hockey governance in Canada as a whole has not progressed in a manner where the authority of female hockey participants and leaders has increased. This paper initiates dialogue about women's sport governance by utilising women's hockey in Canada and specifically a case study of the OWHA, as a context in which to develop a new perspective and renew efforts to place women's sport governance on the agenda. In order to develop a sport and governance dialogue for women's hockey specifically and women's sport more broadly, we present a theoretical discussion that integrates critical feminist and grassroots movement perspectives.

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)0.006
metaresearch head score (Gemma)0.006
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 score0.216
Threshold uncertainty score0.910

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.004
Science and technology studies0.0320.041
Scholarly communication0.0140.004
Open science0.0030.007
Research integrity0.0020.003
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 head0.266
Teacher spread0.246 · 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

Citations9
Published2007
Admission routes2
Has abstractyes

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