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The Specificity of Self‐Efficacy over the Course of a Progressive Exercise Programme

2009· article· en· W2080760306 on OpenAlexaff
Wendy M. Rodgers, Terra C. Murray, Kerry S. Courneya, Gordon J. Bell, Vicki J. Harber

Bibliographic record

VenueApplied Psychology Health and Well-Being · 2009
Typearticle
Languageen
FieldPsychology
TopicBehavioral Health and Interventions
Canadian institutionsAthabasca UniversityUniversity of Alberta
Fundersnot available
KeywordsSelf-efficacyPhysical activityPsychologyCoping (psychology)Physical therapyMedicinePhysical exerciseClinical psychologyPhysical medicine and rehabilitationPsychotherapist

Abstract

fetched live from OpenAlex

Regular physical exercise is an important health‐promoting behaviour. Self‐efficacy has been demonstrated to be a robust predictor of health behaviour in general and physical activity in particular. Two studies are reported where the change in task self‐efficacy, scheduling self‐efficacy, and coping self‐efficacy for two types of physical activity (walking or traditional fitness activity) was examined over time in a progressive exercise programme. A progressive programme increases in intensity and duration over the course of the study. A sample of 115 people completed a 6‐month activity trial where they were assigned to a walking group, a traditional exercise group, or no activity control group. Repeated measures MANOVAs for each type of self‐efficacy revealed quadratic patterns of change that were specific to the type of exercise engaged in. The results suggest that self‐efficacy is behaviour specific and can be expected to be responsive to overt experiences with specific exercise modalities. Results also suggest that additional support might be necessary as late as 3 months into the programme to maintain levels of exercise consistent with public health guidelines.

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)0.001
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 score0.900
Threshold uncertainty score0.549

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0000.000

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 head0.029
GPT teacher head0.398
Teacher spread0.369 · 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

Citations22
Published2009
Admission routes1
Has abstractyes

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