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Record W2140724235 · doi:10.1300/j016v28n02_01

Exercising for Health

2004· article· en· W2140724235 on OpenAlexaff
Jochen Bocksnick

Bibliographic record

VenueActivities Adaptation & Aging · 2004
Typearticle
Languageen
FieldPsychology
TopicBehavioral Health and Interventions
Canadian institutionsUniversity of Lethbridge
Fundersnot available
KeywordsCompetence (human resources)Grounded theoryPsychologyTheory of planned behaviorApplied psychologyMedical educationGerontologySocial psychologyQualitative researchMedicineSociology

Abstract

fetched live from OpenAlex

The objective of this study was to describe the motivation process of older adults who had completed an exercise program that was offered three times a week for 45 minutes between September and December or and April. All respondents (N = 48, mean age = 66.4 years) volunteered to participate in an audiotaped and semi-structured interview. The questions for the interview were grounded in the theoretical concepts outlined in the Theory of Planned Behavior (Ajzen & Madden, 1986) and the Rubicon Model (Heckhausen, 1989). The interviews provided a detailed account of the respondents' motivation to participate in the structured exercise program and a detailed description of their experiences during, and perceived outcomes from, their involvement in the program. The data suggested that important for the respondents' motivation to adhere to the exercise program was making a personal commitment and experiencing desirable changes in their physical competence, which the respondents attributed to their program participation.

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.026
Threshold uncertainty score0.086

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0260.005

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 head0.114
GPT teacher head0.435
Teacher spread0.321 · 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

Citations13
Published2004
Admission routes1
Has abstractyes

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