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Record W2117150081 · doi:10.1177/1557988306294604

The Best of the Best Discourse on Health: Poetic Insights on How Professional Sport Socializes a Family of Men Into Hegemonic Masculinity and Physical Inactivity

2007· article· en· W2117150081 on OpenAlexaff
Leanna Madill, Tim Hopper

Bibliographic record

VenueAmerican Journal of Men s Health · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicSports, Gender, and Society
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsMasculinityHegemonic masculinityConstruct (python library)Thematic analysisAthletesPerceptionHegemonyPsychologyGender studiesSocial psychologyPoetryProfessional sportQualitative researchSociologyMedicinePolitical scienceSocial sciencePhysical therapyLaw

Abstract

fetched live from OpenAlex

This study examines how 4 men from the same family, representing different generations, construct health from their perceptions of professional athletes. Many men are socialized and participate in sport discourses that promote certain truths about being a man that often have detrimental effects to their health. The capacity of research to inform men's construction of health is limited. In an attempt to engage male participants within the research process and cause a form of catalytic validity, transcripts from interviews with the men were analyzed, and thematic findings were represented in a poetic form and shared with the participants for discussion and refinement. The findings revealed how the male participants reiterated messages that the media promotes, such as the importance of physical and mental strength for a man. More significantly, the men became aware that they assumed a narrow definition of health portrayed by professional athletics that perpetuated a hegemonic masculinity. Reflections on changes in the men's lifestyle choices after engaging in the research process are offered in the conclusion.

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.223
Threshold uncertainty score0.994

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.032
GPT teacher head0.385
Teacher spread0.353 · 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.

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

Citations22
Published2007
Admission routes1
Has abstractyes

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