MétaCan
Menu
Back to cohort
Record W4283721115 · doi:10.1080/01924788.2022.2094658

Older Adults’ Physical Activity and Social Participation During COVID-19

2022· article· en· W4283721115 on OpenAlexafffundabout
Lindsay Morrison, Meghan H. McDonough, Stephanie Won, AJ Matsune, Jennifer Hewson

Bibliographic record

VenueActivities Adaptation & Aging · 2022
Typearticle
Languageen
FieldEnvironmental Science
TopicUrban Green Space and Health
Canadian institutionsUniversity of Calgary
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsCoronavirus disease 2019 (COVID-19)RecreationPhysical activity2019-20 coronavirus outbreakFlexibility (engineering)Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)PsychologyGerontologyPandemicResistance (ecology)MedicinePhysical therapyPolitical science

Abstract

fetched live from OpenAlex

COVID-19 disrupted older adults’ physical and social participation. We examined changes in social participation and physical activity during COVID-19 and perceptions of precautionary measures and online or outdoor classes in 155 older adults (Mage = 70.50 ± 4.62 years). Patrons at Calgary recreation centers ≥ 65 years recruited via e-mail were surveyed between August-September 2020. Social participation (p <0.01) and resistance (p <0.01) and flexibility (p =0.03) physical activity declined. Mild physical activity increased (p =0.03). 33.57% attended online classes. Most precautionary measures were endorsed. Understanding behavior and receptivity to precautions helps providers adapt to COVID-19.

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)0.002
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.033
Threshold uncertainty score0.065

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
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 head0.029
GPT teacher head0.288
Teacher spread0.259 · 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

Citations11
Published2022
Admission routes3
Has abstractyes

Explore more

Same venueActivities Adaptation & AgingSame topicUrban Green Space and HealthFrench-language works237,207