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Record W2185779989

Body image dysphoria and motivation to exercise: A study of Canadian and Polish women participating in yoga or aerobics

2011· article· en· W2185779989 on OpenAlexaboutno aff
U Agnieszka, Katarzyna Schier

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPsychology
TopicEating Disorders and Behaviors
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologySituational ethicsDysphoriaClinical psychologyPhysical activitySocial psychologyPhysical therapyMedicinePsychiatryAnxiety
DOInot available

Abstract

fetched live from OpenAlex

Summary Aim. This study examined body image dysphoria and motivation to exercise among c anadian and Polish women practicing aerobics or yoga. Participants and method. Female participants (N=138), recruited for this study from fitness centres and yoga studios, completed measures of body image (Situational Inventory of Body Image Dysphoria) and motivation to exercise (Exercise Motivation Inventory-2). results. Results showed that Polish yoga participants scored significantly lower on negative body related emotions experienced in specific situational contexts than the remainder of participants. Also, motivation to exercise differed between participants of yoga and aerobics. canadian and Polish women were found to pursue exercise for different reasons. Conclusions. These results indicate the interplay of cultural and motivational factors with relation to body image.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.185
Threshold uncertainty score0.372

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.063
GPT teacher head0.318
Teacher spread0.256 · 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 source (direct Gemma or distilled Codex), 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

Citations20
Published2011
Admission routes1
Has abstractyes

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