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Record W1984554715 · doi:10.1177/1012690212454466

“Together we can make it better”: Collective action and governance in a girls’ ice hockey association

2012· article· en· W1984554715 on OpenAlexaffabout
Julie Stevens, Carly Adams

Bibliographic record

VenueInternational Review for the Sociology of Sport · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicNonprofit Sector and Volunteering
Canadian institutionsUniversity of LethbridgeBrock University
Fundersnot available
KeywordsIce hockeyCollective actionAssociation (psychology)Minor (academic)Action (physics)Corporate governancePerspective (graphical)SituatedSocial psychologyPolitical scienceSociologyPsychologyManagementLaw

Abstract

fetched live from OpenAlex

This paper, drawing on collective action literature and situated within the women’s sport movement, offers a case study of a separate girls’ minor hockey association that formed in Ontario in the mid-1990s. The analysis explores the process of establishing a girls’ hockey association that is separate from the boys’ minor hockey umbrella. Two fundamental collective action themes emerged from the data. First, the data revealed the founders of the separate association acted according to both affective and rational motives. Second, the founders utilized different strategies, namely advocacy and social action, to form the association. These findings support an integrated perspective towards community change as it pertains to female hockey governance, and introduces a novel stream of inquiry into this area of female sport – one that connects collective action, governance, and organizational dynamics.

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)0.003
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 score0.198
Threshold uncertainty score0.393

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0140.029
Scholarly communication0.0060.003
Open science0.0010.005
Research integrity0.0010.001
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 head0.050
GPT teacher head0.367
Teacher spread0.317 · 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

Citations12
Published2012
Admission routes2
Has abstractyes

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