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Record W2029907804 · doi:10.1177/1359105310368184

Do or Decline?

2010· article· en· W2029907804 on OpenAlexaffabout
Brad A. Meisner, Shilpa Dogra, Andrew Logan, Joseph Baker, Patricia L. Weir

Bibliographic record

VenueJournal of Health Psychology · 2010
Typearticle
Languageen
FieldMedicine
TopicPhysical Activity and Health
Canadian institutionsUniversity of WindsorYork University
Fundersnot available
KeywordsBiopsychosocial modelGerontologyPhysical activityCohortPsychologyMultivariate analysisCohort studyMedicineDemographyPhysical therapyPsychiatryInternal medicine

Abstract

fetched live from OpenAlex

Research has shown that physical activity (PA) is associated with overall successful aging (SA), but it is unknown whether PA promotes each SA component in similar ways. This cross-sectional population-based cohort study investigates SA in adults aged 60 years+ using data from the Canadian Community Health Survey ( N = 12,042). Multivariate comparisons showed that, compared to those who were PA, physical inactivity was a much stronger associate of functional limitations than either chronic disease or being socially unengaged with life. This effect was not found for moderately active participants. Findings reinforce that PA, even at moderate levels, is an efficient way of optimizing biopsychosocial health, particularly functional health, in later life.

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)0.002
metaresearch head score (Gemma)0.010
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.037
Threshold uncertainty score0.123

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0030.004
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0370.007

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 head0.149
GPT teacher head0.539
Teacher spread0.390 · 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

Citations53
Published2010
Admission routes2
Has abstractyes

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