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Psychological Needs as Mediators? The Relationship Between Leisure-Time Physical Activity and Well Being in People Diagnosed With Osteoporosis

2011· article· en· W1991786171 on OpenAlexaffabout
Katie E. Gunnell, Diane E. Mack, Philip M. Wilson

Bibliographic record

VenueResearch Quarterly for Exercise and Sport · 2011
Typearticle
Languageen
FieldPsychology
TopicMotivation and Self-Concept in Sports
Canadian institutionsBrock UniversityUniversity of British Columbia
Fundersnot available
KeywordsOsteoporosisKinesiologyGerontologyPhysical activityBehavioural sciencesSociologyMedicinePsychologySocial scienceLibrary scienceMedical educationPhysical therapy

Abstract

fetched live from OpenAlex

Click to increase image sizeClick to decrease image size Additional informationNotes on contributorsDiane E. Mack The first three authors were supported by grants from the Social Sciences and Humanities Research Council of Canada during the preparation of this manuscript. We thank the Social Science and Humanities Research Council of Canada and the Brock University Advancement Fund for providing funding for this research project. We are also grateful to the participants who willingly gave their time, Osteoporosis Canada–Niagara Chapter, The British Columbia Women's Hospital and Health Centre Osteofit Program, YWCA, The National Osteoporosis Society, The International Osteoporosis Foundation and the European Society on Clinical and Economic Aspects of Osteoporosis and Osteoarthritis for their support of this research. Please address correspondence concerning this article to Diane E. Mack, Department of Kinesiology, Behavioral Health Sciences Lab, Brock University, 500 Glenridge Ave, St. Catharines ON, Canada L2S 3A1.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.063
Threshold uncertainty score0.531

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.065
GPT teacher head0.365
Teacher spread0.300 · 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

Citations33
Published2011
Admission routes2
Has abstractyes

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