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Record W2615650862

Sketching the Identity Negotiations of Male Athletes and their Coaches: A Case Study of a CIS Men’s Basketball Team

2017· dissertation· en· W2615650862 on OpenAlexaboutno aff
Stephen Soucie

Bibliographic record

VenueBrock University Digital Repository (Brock University) · 2017
Typedissertation
Languageen
FieldSocial Sciences
TopicSports, Gender, and Society
Canadian institutionsnot available
Fundersnot available
KeywordsBasketballAthletesNegotiationIdentity (music)PsychologyAdvertisingApplied psychologyEngineeringPhysical therapyPolitical scienceArtGeographyMedicineBusinessAestheticsLawArchaeology
DOInot available

Abstract

fetched live from OpenAlex

More than simply passive members of a hard masculine cult, male athletes and their coaches take up complex and contradictory identities within the larger athletic structures in which they operate. In this study, I explore the relations of power shaping identity and subjectivity for male athletes and their coaches. Interviews were conducted with eight key informants, six student-athletes and two coaches, of a Canadian Interuniversity Sport (CIS) men’s basketball team and focused on sketching their experiences, perceptions, and performances of masculinities in the sport arena. The detailed stories shared by the two coaches led me to focus two analysis chapters on their narratives. My third analysis chapter broadens to include the narratives told by the larger group of participants. Drawing on the work of Foucault and feminist post-structuralist analysis, I problematize the ethical subjectivities of coaches and players and consider the implications of these findings for both critical sport researchers and anti-violence activists.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.515
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0030.000
Scholarly communication0.0000.002
Open science0.0010.000
Research integrity0.0000.000
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 head0.019
GPT teacher head0.241
Teacher spread0.221 · 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 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
Published2017
Admission routes1
Has abstractyes

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