MétaCan
Menu
Back to cohort
Record W3119345023 · doi:10.1024/1662-9647/a000255

Daily Physical Activity in Older Age

2021· article· en· W3119345023 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueGeroPsych · 2021
Typearticle
Languageen
FieldMedicine
TopicPhysical Activity and Health
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsPhysical activityAffect (linguistics)Fear of fallingPsychologyGerontologyFalling (accident)Activities of daily livingTraitOlder peopleMultilevel modelDemographyMedicinePoison controlInjury preventionPhysical medicine and rehabilitationPhysical therapyEnvironmental health

Abstract

fetched live from OpenAlex

Abstract. Affective barriers like negative affect (time-varying subjective state) or fear of falling (person-trait) may reduce daily physical activity among older adults. A group of 123 community-dwelling older adults ( M age = 71.83, range = 64–85, 63% women) from Canada participated in a 10-day time-sampling study. We used accelerometer-assessed physical activity, assessing negative affect three times per day and fear of falling once prior to the 10-day period. Using multilevel models, we noted considerable variability in physical activity between days (activity counts: 47%; steps: 55%). We found time-varying negative associations between daily physical activity and daily negative affect. Fear of falling was not related to daily physical activity. Findings point to the merit of examining time-varying differences in subjective experiences when looking for physical activity barriers in older age.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.948
Threshold uncertainty score0.323

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 communication0.0000.000
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 head0.052
GPT teacher head0.367
Teacher spread0.315 · 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