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Record W2040571540 · doi:10.1300/j016v30n03_03

Exploring Older Adults' Social Influences for Physical Activity

2006· article· en· W2040571540 on OpenAlex
Kathleen Wilson, Kevin S. Spink

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

VenueActivities Adaptation & Aging · 2006
Typearticle
Languageen
FieldMedicine
TopicPhysical Activity and Health
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsPsychologyDevelopmental psychologyPhysical activityGerontologyMedicinePhysical medicine and rehabilitation

Abstract

fetched live from OpenAlex

Abstract The purpose of this study was to use older adults as active agents to identify the different types of social influences for physical activity that may be salient for this population. Fifteen active older adults participated in one of two focus groups discussing who was important for them to be active and what these individuals did that influenced the participants to be active. Results revealed the emergence of four main types of social influence, which included compliance, conformity, modeling, and obedience. Older adults discussed these influences coming from a variety of channels including friends, family, and health care workers. An interesting finding that emerged was that not all influences were associated with all channels. These findings provide initial support for the suggestion that we may need to consider different combinations of type and channel when examining the effects of social influence on the physical activity behaviors of older adults.

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)0.000
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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.845
Threshold uncertainty score0.657

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.000
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 head0.132
GPT teacher head0.337
Teacher spread0.205 · 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