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Record W2152208981 · doi:10.3138/ptc.2012-31

“Any Movement at All Is Exercise”: A Focused Ethnography of Rural Community-Dwelling Older Adults' Perceptions and Experiences of Exercise as Self-Care

2013· article· en· W2152208981 on OpenAlexaffvenue
Laura J. Graham, Denise M. Connelly

Bibliographic record

VenuePhysiotherapy Canada · 2013
Typearticle
Languageen
FieldMedicine
TopicPhysical Activity and Health
Canadian institutionsWestern University
Fundersnot available
KeywordsPerceptionPsychologyFocus groupHealth careQualitative researchGerontologyEthnographyMedicine

Abstract

fetched live from OpenAlex

PURPOSE: To understand rural community-dwelling older adult participants' shared values, beliefs, and behaviours related to exercise as self-care. METHODS: We conducted a constructivist-focused ethnography involving semi-structured interviews and participant observation with 17 individuals 65 years and older. Interviews were transcribed and inductively coded to develop themes related to exercise, self-care, and exercise as self-care. Field notes were triangulated with follow-up interviews and dialogue between authors to enhance interpretation. RESULTS: Participants described exercise broadly as movement and not as a central self-care behaviour. However, awareness of the importance and health-related benefits of exercise increased after a significant personal health-related event. Participants preferred exercise that was enjoyable and previously experienced. CONCLUSIONS: Prescribing exercise for older adults may be particularly effective if the focus is on enjoyable and previously experienced physical activity and if it incorporates interpretation of exercise guidelines and training principles in relation to chronic conditions and potential health benefits.

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)0.000
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.672
Threshold uncertainty score0.958

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.013
GPT teacher head0.286
Teacher spread0.273 · 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 designQualitative
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

Citations29
Published2013
Admission routes2
Has abstractyes

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