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Record W2095518730 · doi:10.2190/aj75-vwt3-9xhm-ujdw

Comparing the Imagery Use of Older and Younger Adult Exercisers

2005· article· en· W2095518730 on OpenAlexaff
Marcia I. Milne, Shauna M. Burke, Craig Hall, Esther Nederhof, Kimberley L. Gammage

Bibliographic record

VenueImagination Cognition and Personality · 2005
Typearticle
Languageen
FieldPsychology
TopicSport Psychology and Performance
Canadian institutionsBrock UniversityWestern University
Fundersnot available
KeywordsMental imagePsychologyGuided imageryCognitionIntervention (counseling)Motor imageryAnxiety

Abstract

fetched live from OpenAlex

Imagery plays important motivational and cognitive roles in exercise and may be useful in enhancing exercise adherence [1, 2]. Furthermore, imagery use reflects the motives people have for engaging in exercise [3]. Previous exercise imagery studies have focused on younger adults. The purposes of the present study were (a) to compare imagery use in older and younger adult exercisers, and (b) to determine if gender influences the imagery used by these exercisers. Participants ( N = 330) completed the Exercise Imagery Questionnaire [2], which measures appearance, technique and energy imagery. Results showed that overall both younger and older exercisers used significantly more appearance imagery than technique and energy imagery. In addition, younger exercisers used more appearance imagery than their older counterparts. Gender did not influence imagery use. Implications for imagery intervention strategies aimed at increasing exercise adherence are discussed.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.154
Threshold uncertainty score1.000

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)0.0010.000

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 head0.055
GPT teacher head0.338
Teacher spread0.283 · 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.

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

Citations8
Published2005
Admission routes1
Has abstractyes

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