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Record W2045767000 · doi:10.1080/08870440902866886

The effects of leader gender on self-presentational concerns in exercise

2009· article· en· W2045767000 on OpenAlexaff
Larkin Lamarche, Kimberley L. Gammage

Bibliographic record

VenuePsychology and Health · 2009
Typearticle
Languageen
FieldPsychology
TopicBehavioral Health and Interventions
Canadian institutionsBrock UniversityUniversity of Toronto
Fundersnot available
KeywordsMultivariate analysis of variancePresentational and representational actingPsychologyClinical psychologyAnalysis of varianceAnxietySocial psychologyDevelopmental psychologyMedicinePsychiatry

Abstract

fetched live from OpenAlex

The present study examined the impact of the exercise leader's gender on the self-presentational concerns of women in a live exercise class. Eighty-seven college-aged non- or infrequent exercisers participated in a group exercise class led by either a female or male instructor. Participants completed measures of Self-Presentational Efficacy (SPE), State Social Anxiety (SSA) and State Social Physique Anxiety (SPA-S) prior to and following completion of a group exercise class. A repeated measures Multivariate Analysis of Variance (MANOVA), with time as the within-subjects factor and leader gender as the between-subjects factor, was conducted. A significant main effect for time was found (F(3, 80) = 19.65, p < 0.001). Estimated marginal means indicated that all participants reported significantly higher SPE and lower SSA and SPA-S post-exercise. Completing an exercise class may override any self-presentational concerns that can arise from the exercise environment. Future studies should adopt ecologically valid research designs to gain a clearer picture of self-presentational concerns in exercise classes.

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 score0.884
Threshold uncertainty score0.248

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 integrity0.0000.000
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 head0.154
GPT teacher head0.526
Teacher spread0.372 · 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

Citations21
Published2009
Admission routes1
Has abstractyes

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