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Record W2001501646 · doi:10.1080/01490400.2014.980591

‘It Doesn't Matter How Big or Small You Are…There's a Position For You’: Body Image Among Female Tackle Football Players

2015· article· en· W2001501646 on OpenAlexaffabout
Toni Liechty, Katherine Sveinson, Fleesha Willfong, Kate Evans

Bibliographic record

VenueLeisure Sciences · 2015
Typearticle
Languageen
FieldPsychology
TopicEating Disorders and Behaviors
Canadian institutionsUniversity of Regina
Fundersnot available
KeywordsNegotiationFootballAtmosphere (unit)PsychologyObjectificationSocial psychologyBeautySociologyAestheticsPolitical scienceSocial scienceGeography

Abstract

fetched live from OpenAlex

The purpose of this study was explore the body image experiences of women who play tackle football. Data included semi-structured interviews with 15 players on a women's tackle football team in Western Canada. Data were analyzed thematically and objectification theory was used to interpret the findings. Themes that emerged included: a) improved body image through physical change, appreciation of function over appearance and shifting ideals of beauty; b) importance of a social atmosphere that celebrated diverse bodies; and c) negotiation of body image on and off the field. Research has documented a connection between body image and physically active leisure, but much about the nature of the relationship is still unclear. The findings of this study provide insight into elements of physically active leisure (e.g., social atmosphere or nature of the activity) which can be used to promote positive body image, health, and wellness in leisure settings.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.037
Threshold uncertainty score0.671

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
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 head0.065
GPT teacher head0.331
Teacher spread0.266 · 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 designObservational
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

Citations25
Published2015
Admission routes2
Has abstractyes

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