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Record W2162971444 · doi:10.1177/1524839903255417

A Self-Referent Thinking Model: How Older Adults May Talk Themselves Out of Being Physically Active

2003· article· en· W2162971444 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueHealth Promotion Practice · 2003
Typearticle
Languageen
FieldPsychology
TopicBehavioral Health and Interventions
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsPsychologyReferentPhysical activitySocial psychologyBalance (ability)Developmental psychologyQualitative researchOlder peopleGerontologyMedicineSociology

Abstract

fetched live from OpenAlex

The purpose of this qualitative study was to ground current theory on exercise behavior with authentic voices of older adults as they thought about physical activity. Aged 55 to 92, 41 adults of various activity levels provided interviews with regard to personal experiences, health issues, and motivation for active lifestyles. Key constructs from four contemporary health behaviour theories were integrated into a decisional balance template. Interpretive analysis organized positive and negative thinking on the template and thereby animated important theoretical constructs with the actual voices of older adults. Although generally supporting current theoretical models, the surprising finding was that active people expressed as much negative self-talk as did inactive people. However, they differed in their ability to balance each issue with strong positive thinking based on previous personal succesess and direct experience of benefits. This finding suggests that promoting health through lifestyle change is very difficult to do without positive past-mastery experiences.

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.

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.413
Threshold uncertainty score0.862

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 communication0.0000.001
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 head0.085
GPT teacher head0.434
Teacher spread0.349 · 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