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Record W2134251639 · doi:10.1093/geronb/57.6.p531

Compensating for Losses in Perceived Personal Control Over Health: A Role for Collective Self-Esteem in Healthy Aging

2002· article· en· W2134251639 on OpenAlexafffundabout
Daniel S. Bailis, Judith G. Chipperfield

Bibliographic record

VenueThe Journals of Gerontology Series B · 2002
Typearticle
Languageen
FieldSocial Sciences
TopicHealth disparities and outcomes
Canadian institutionsUniversity of ManitobaResearch Manitoba
FundersHealth CanadaUniversity of Manitoba
KeywordsLonelinessPerceived controlPsychologyControl (management)Self-controlSelf-esteemSocial psychologyIdentity (music)AccommodationClinical psychologyDevelopmental psychology

Abstract

fetched live from OpenAlex

Collective self-esteem (CSE) refers to an individual's self-evaluation of his or her social identity. We speculate that a positive social identity, or high CSE, facilitates accommodation to negative health-related circumstances in later life, especially when one feels unable to alter these circumstances directly. Accordingly, we hypothesized that CSE would be associated with fewer chronic conditions and greater perceived health for those with low perceived control. Hierarchical regression analyses of data from 1,267 respondents (60% women, aged 69-101) in the 1996 Aging in Manitoba survey confirmed the predicted CSE x Perceived Control interaction on both measures of health status. These findings persisted when respondents' self-rated loneliness was controlled. CSE may compensate to protect the health of older adults whose perceived personal control over health is low. Secondary control and alternative mechanisms for this protective effect are discussed.

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 score0.003
Threshold uncertainty score0.009

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 studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.386
Teacher spread0.302 · 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

Citations43
Published2002
Admission routes3
Has abstractyes

Explore more

Same venueThe Journals of Gerontology Series BSame topicHealth disparities and outcomesFrench-language works237,207