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Record W2117535373 · doi:10.1123/japa.21.2.222

Birds of a Feather Stay Active Together: A Case Study of an All-Male Older Adult Exercise Program

2013· article· en· W2117535373 on OpenAlexafffund
William L. Dunlop, Mark R. Beauchamp

Bibliographic record

VenueJournal of Aging and Physical Activity · 2013
Typearticle
Languageen
FieldMedicine
TopicPhysical Activity and Health
Canadian institutionsUniversity of British Columbia
FundersMichael Smith Health Research BC
KeywordsFeatherGerontologyMedicinePhysical activityActive livingPhysical therapyPsychologyEcologyBiology

Abstract

fetched live from OpenAlex

In this article, the authors report the results of a case study examining a group-based exercise program for older adult men. The purpose of the investigation was to identify the elements of this program responsible for its appeal. Interviews, conducted with a purposely sampled subset of program members, were subject to content-analytic procedures. Participants identified social connectedness (reflected by themes of demographic homogeneity, support and care, customs and traditions, and interpersonal comparisons) and supportive leadership behaviors (constituted by communication, the provision of choice, and individualized attention) as major attractions in the program. A few participants also noted the challenge that exists when a program is seen by some as being a social program that provides opportunities for exercise and by others as an exercise program that provides opportunities for socializing. Findings are discussed in relation to contextual factors associated with older adult men's involvement in physical activity programs.

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)0.002
metaresearch head score (Gemma)0.006
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0180.004
Scholarly communication0.0030.002
Open science0.0030.004
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.0030.000

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 head0.034
GPT teacher head0.361
Teacher spread0.327 · 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

Citations35
Published2013
Admission routes2
Has abstractyes

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