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The Role of Institutional Entrepreneurs in New Ventures: The Emergence of Women’s Elite Hockey

2018· article· en· W2853866989 on OpenAlexaffabout
Pat Reid, Marvin Washington, Daniel S. Mason, Vern Glaser

Bibliographic record

VenueAcademy of Management Proceedings · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicSports, Gender, and Society
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsAmateurEliteIce hockeyField hockeyHegemonic masculinityPolitical scienceHegemonyAdvertisingEvent (particle physics)Public relationsGender studiesMasculinityBusinessSociologyPoliticsLaw

Abstract

fetched live from OpenAlex

Drawing upon the research in institutional entrepreneurship, and organizational routines, this project examines how entrepreneurs overcome obstacles in gendered industries. Specifically, we examine the case of the Canadian Amateur Hockey Association (CAHA) and their efforts to host the Women’s World Hockey Championships (WWHC) as a first step toward women’s hockey being included in the Winter Olympics. Before the WWHC, women’s hockey was not highly organized or thought of as a popular activity due to the hegemonic masculinity inherent in (men’s) hockey. We find that CAHA adjusted two routines (the use of pink in the jersey for the Canadian Women’s team and adjusting the rules from body-checking to body-contact) in an effort to increase positive media attention and audience support for the event. The results of these actions not only led to changing how women’s hockey is played, but also lead to the inclusion of women’s hockey as a winter Olympic event.

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)0.004
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 score0.036
Threshold uncertainty score0.071

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0120.014
Scholarly communication0.0100.003
Open science0.0010.006
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 head0.018
GPT teacher head0.286
Teacher spread0.268 · 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
Published2018
Admission routes2
Has abstractyes

Explore more

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