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Record W2724451120

The relationships between aging expectations and various modes of physical activity

2010· article· en· W2724451120 on OpenAlexaffabout
Brad A. Meisner, Patricia L. Weir, Joseph Baker

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPsychology
TopicAging and Gerontology Research
Canadian institutionsYork UniversityUniversity of WindsorToronto Metropolitan University
Fundersnot available
KeywordsBivariate analysisGerontologyPhysical activityHealthy agingPsychologyScale (ratio)Cross-sectional studySuccessful agingSurvey researchDemographyMedicineSociologyGeographyPhysical therapyApplied psychology
DOInot available

Abstract

fetched live from OpenAlex

Evidence shows that older adults who expect decline with age are less likely to engage in 30 minutes of moderate-to-vigorous walking activities in the previous week compared to those with affirming aging expectations. The objective of the current study was to explore the impact that aging expectations have on other modes of physical activity. In the Greater Toronto Area, 249 community-dwelling middle-aged and older adults (M=70 years) returned a self-administered, cross-sectional, mailed-in survey. Measures of interest were the Expectations Regarding Aging survey (ERA-12) and the Physical Activity Scale for the Elderly (PASE). Bivariate correlations revealed significant positive associations between overall aging expectations and a) overall physical activity (r=.19, p

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)0.005
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 score0.020
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
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)0.0010.000

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 head0.085
GPT teacher head0.411
Teacher spread0.326 · 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

Citations0
Published2010
Admission routes2
Has abstractyes

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