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Record W2144083882 · doi:10.1177/089826430101300201

Age Variations in Personal Agency and Self-Esteem

2001· article· en· W2144083882 on OpenAlexaboutno aff
Scott Schieman, Janice Campbell

Bibliographic record

VenueJournal of Aging and Health · 2001
Typearticle
Languageen
FieldPsychology
TopicAging and Gerontology Research
Canadian institutionsnot available
Fundersnot available
KeywordsSelf-esteemPsychologyPersonalitySelf-efficacySelf-rated healthAgency (philosophy)Social engagementAssociation (psychology)Clinical psychologyGerontologyDevelopmental psychologySocial psychologyMedicine

Abstract

fetched live from OpenAlex

OBJECTIVES: This study examines how age patterns in health control, self-efficacy, and self-esteem are influenced by age-correlated social status, health, personality, and social integration variables. METHODS: Ordinary least squares regression documents age patterns in data from a 1985 community sample of 1,549 physically disabled and nondisabled individuals from southwestern Ontario, Canada. RESULTS: Older respondents report lower health control, self-efficacy, and self-esteem. Less education, more physical impairment, poorer global health, less empathy, and less introspectiveness explain about 43% of age's negative association with health control and more than half of its negative association with self-esteem. In addition, age is associated more negatively with self-efficacy among the disabled. Social status variables conceal the strength of the age-by-disability interaction coefficient, while health accounts for almost an equal amount. DISCUSSION: The findings describe how age-correlated personal and social factors contribute to, or statistically conceal, older adults' sense of health control, self-efficacy, and self-esteem.

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)0.000
metaresearch head score (Gemma)0.003
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 score0.016
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.089
GPT teacher head0.437
Teacher spread0.348 · 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
Published2001
Admission routes1
Has abstractyes

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