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Record W4229767583 · doi:10.15353/cgjsc-rcessc.v3i1.74

Masculinity and Sport Revisted: A Review of Literature on Hegemonic Masculinity and Men's Ice Hockey in Canada

2014· review· en· W4229767583 on OpenAlexvenueaboutno aff
Cheryl A. MacDonald

Bibliographic record

VenueCanadian Graduate Journal of Sociology and Criminology · 2014
Typereview
Languageen
FieldSocial Sciences
TopicSports, Gender, and Society
Canadian institutionsnot available
Fundersnot available
KeywordsMasculinityIce hockeyHegemonic masculinityGender studiesHegemonySociologyPsychologyPolitical scienceMedicineLawPhysical medicine and rehabilitationPolitics

Abstract

fetched live from OpenAlex

Ice hockey is particularly significant in Canada, since it acts as a primary site of socialization for boys and men. This form of socialization raises questions about masculinity on the public agenda in terms of the problematic nature of hypermasculinity in sport, stereotypical images of athletes, and questions of social responsibility as both men and athletes. These issues are presently relevant as Canada (and perhaps all of North America) finds itself in an era characterized by media accounts of competitive athletes' cavalier lifestyles, hazing rituals, violence, homophobia, drug addictions, and suicides. Scholars agree that these social issues can largely be attributed to problematic socialization through participation in hockey. This literature review uses secondary research to problematize masculinity in the ice hockey context by presenting the overarching claim that male hockey players embody hegemonic masculinity. The piece begins by defining R.W. Connell's (1987) concept of hegemonic masculinity and situating it in its current academic context. Next, it offers an overview of relevant literature on masculinity and sport along with a concise examination of scholarly work on the relationship between hegemonic masculinity and ice hockey in Canada. It concludes by summarising calls for further research in the field and by suggesting approaches to future studies.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.915
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0000.000

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 head0.106
GPT teacher head0.336
Teacher spread0.230 · 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
GenreReview

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

Citations8
Published2014
Admission routes2
Has abstractyes

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