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Record W3093550251 · doi:10.29034/ijmra.v12n1a2

The Impact of the CrossFit Environment on Women’s Body Image, Self-Esteem, and Eating Behaviors

2020· article· en· W3093550251 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInternational Journal of Multiple Research Approaches · 2020
Typearticle
Languageen
FieldPsychology
TopicEating Disorders and Behaviors
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsPsychosocialThematic analysisPsychologyEthnographySelf-esteemSocial psychologyClinical psychologyDevelopmental psychologySociologyQualitative researchSocial science

Abstract

fetched live from OpenAlex

This mixed methods research study sought to investigate associations among women’s body image, self-esteem, and eating behaviors in the CrossFit environment within 5 affiliates (i.e., gymnasiums). Women (n = 149) completed surveys composed of open- and closed-ended items. Focused ethnographies were conducted at all affiliates. Multiple linear regressions revealed no differences between affiliates with respect to women’s body image, self-esteem, and eating behaviors. Conversely, thematic analysis of open-ended items and ethnographic observations revealed positive (e.g., community, food as fuel) and negative (e.g., self-comparison, restriction) influences on all psychosocial variables, with most themes reoccurring across all affiliates. Future researchers should seek to compare affiliates from different geographical/cultural regions.

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.

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 score0.034
Threshold uncertainty score0.301

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.117
GPT teacher head0.403
Teacher spread0.286 · 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