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Exercising impressive impressions: the exercise stereotype in male targets

2010· article· en· W2027200605 on OpenAlexaff
Magnus Lindwall, Kathleen A. Martin Ginis

Bibliographic record

VenueScandinavian Journal of Medicine and Science in Sports · 2010
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicConsumer Behavior in Brand Consumption and Identification
Canadian institutionsMcMaster University
Fundersnot available
KeywordsPsychologyStereotype (UML)Physical therapyMedicinePhysical medicine and rehabilitationSocial psychology

Abstract

fetched live from OpenAlex

The main purpose of this study was to investigate the exercise stereotype and the non-exerciser stereotype on male targets, and the moderating effects of impression motivation in 184 female and 73 male Swedish undergraduate students. The participants read a description of one of the following male targets: a typical exerciser, an active living target, an excessive exerciser, a non-exerciser, or a control target, and then rated these targets on 12 personality (e.g. lazy-hard worker, dependent-independent) and eight physical (e.g. scrawny-muscular, sick-healthy) dimensions. They also completed the Impression Motivation scale of the Self-Presentation in Exercise Questionnaire, measuring motivation to self-present as an exerciser. MANCOVAs demonstrated a significant main effect for both personality and physical attributes (P<0.05). Overall, the typical exerciser, the active living target, and the excessive targets received more positive ratings than, in particular the non-exerciser target but also the control target. The non-exerciser target was rated less favorably compared with the control target. The impression motivation of the participants moderated the exercise status/rating relationship for the physical but not the personality attributes. The results of the study are discussed in the context of gender and cultural aspects of the exercise stereotype phenomenon.

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)0.002
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 score0.322
Threshold uncertainty score0.665

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.021
GPT teacher head0.284
Teacher spread0.263 · 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

Citations12
Published2010
Admission routes1
Has abstractyes

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Same venueScandinavian Journal of Medicine and Science in SportsSame topicConsumer Behavior in Brand Consumption and IdentificationFrench-language works237,207