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Record W7053053304

“A tug of war”: Perspectives on Masculinities in Canadian Men’s Ice Hockey

2021· dissertation· W7053053304 on OpenAlexaboutno aff

Bibliographic record

VenueTSpace · 2021
Typedissertation
Language
FieldEngineering
TopicElectrostatic Discharge in Electronics
Canadian institutionsnot available
Fundersnot available
KeywordsHegemonic masculinityHegemonyIce hockeyMasculinityAthletesSalient
DOInot available

Abstract

fetched live from OpenAlex

This study’s purpose was to explore masculinities in male university hockey players. A total of seven Canadian male university athletes participated in semi-structured interviews. The anonymous interviews covered experiences and perceptions of masculinity in hockey. Two types of masculinities were reportedly experienced. The first more salient form, resembled hegemonic masculinity, and reflected certain expectations and pressures for male hockey players to conform to. The second less dominant form, reflected a challenge to the hegemonic norm, characterised by respectful and inclusive qualities. These findings are interpreted to suggest that men may conform to hegemonic masculinity due to multiple factors, specifically external pressures. The embodiment of the secondary form of masculinity may be encouraged by factors such as team culture. These findings support recent literature highlighting the complicated relationship between hegemonic and competing masculinities. Future research is needed to identify enabling influences for male athletes to embody more progressive and positive masculinities.

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 score0.081
Threshold uncertainty score0.266

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.002
Science and technology studies0.0360.018
Scholarly communication0.0060.002
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.008
GPT teacher head0.276
Teacher spread0.269 · 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
Published2021
Admission routes1
Has abstractyes

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