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Record W4386203871 · doi:10.1080/09589236.2023.2251903

Masculinity on ice: masculinity, friendships, and sporting relationships in midlife and older adulthood

2023· article· en· W4386203871 on OpenAlexafffundabout
Kristi A. Allain

Bibliographic record

VenueJournal of Gender Studies · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicSports, Gender, and Society
Canadian institutionsSt. Thomas University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsMasculinityPsychologyEthnographyGender studiesLife course approachSociologySocial psychologyDevelopmental psychology

Abstract

fetched live from OpenAlex

While researchers have established that young men’s sporting friendships are often structured by violence, minimal intimacy, competition, and the degradation of all things feminine (Messner, 1992b), we know relatively little about sporting relationships between older men. Drawing on interviews with and ethnographic research of older male hockey players in two Canadian cities, this article finds that while those in late midlife (ages 54–71) continue to enact patterns of male relationships associated with younger men, those in later life (ages 71–82) break with these masculine patterns. Instead, their team relationships involve joking about themselves in the locker room (instead of mocking others) and an ethic of care. Many defined true or close friendships as those which extended beyond sport. These findings suggest that men’s alignment with the dominant sporting masculinity of the young is not static over the life course and may wane in certain arenas as men reach later life.

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)0.001
metaresearch head score (Gemma)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.050
Threshold uncertainty score0.099

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.003
Scholarly communication0.0020.002
Open science0.0000.002
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 head0.151
GPT teacher head0.380
Teacher spread0.229 · 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

Citations2
Published2023
Admission routes3
Has abstractyes

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