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Record W2124919799 · doi:10.1123/wspaj.9.1.1

Bodies on Display: Female Aerobic Instructors and Social Physique Anxiety

2000· article· en· W2124919799 on OpenAlexaff
Heather A. Hausenblas, Kathleen A. Martin Ginis

Bibliographic record

VenueWomen in Sport and Physical Activity Journal · 2000
Typearticle
Languageen
FieldPsychology
TopicBehavioral Health and Interventions
Canadian institutionsMcMaster University
Fundersnot available
KeywordsPresentational and representational actingPsychologyAffect (linguistics)Aerobic exerciseBody mass indexSocial psychologyAnxietyDevelopmental psychologyClinical psychologyMedicinePhysical therapyPsychiatry

Abstract

fetched live from OpenAlex

Social physique anxiety (SPA) is a subtype of social anxiety that stems from self-presentational concerns about the appearance of one’s physique. The purpose of the present study was to examine correlates of SPA among individuals who instruct in a high social evaluation setting. Data from 286 female aerobic instructors (M age = 34.11) were collected on SPA, age, body mass index (BMI), exposure to the exercise setting (number of years spent instructing and participating in aerobic classes), and motive for instructing (leadership, affect enhancement, self-presentational). Hierarchical multiple regression analyses revealed that BMI, age, and motive for instructing accounted for 25% of the variance in SPAS scores, F(6, 223) = 12.11, p < .0001. Women who instructed for self-presentational motives had significantly higher SPA compared to women who instructed for leadership and affect enhancement motives. Contrary to hypothesis, the amount of exposure to the aerobic exercise setting was unrelated to SPA. Based on this result, we suggest that repeated exposure to a physique salient environment does not diminish women’s self-presentational concerns about their bodies.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.706
Threshold uncertainty score0.630

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.026
GPT teacher head0.344
Teacher spread0.318 · 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

Citations19
Published2000
Admission routes1
Has abstractyes

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