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Record W2155048778 · doi:10.1177/0164027507305729

Comparing Predictors of Positive and Negative Self-Rated Health Between Younger (25-54) and Older (55+) Canadian Adults

2007· article· en· W2155048778 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueResearch on Aging · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicHealth disparities and outcomes
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsSelf-rated healthPsychosocialPsychologyGerontologySocioeconomic statusCohortMedicinePopulationDemographyEnvironmental healthPsychiatry

Abstract

fetched live from OpenAlex

The objectives of this study were to explore age variations in predictors of positive and negative self-rated health and examine whether the determinants of positive and negative self-rated health are mirror images. Longitudinal data were used from the National Population Health Survey for a nationally representative cohort of Canadians aged 25 years and older ( N = 9,371) to predict positive and negative self-rated health among younger and older Canadian adults separately. Self-rated health was confirmed as a multidimensional concept. There were variations in determinants of positive and negative self-rated health for the younger and the older Canadian adults. Determinants of self-rated health include but are not limited to physical health and functioning. Self-rated health is a dynamic evaluation influenced by changes over time in individuals' physical and psychosocial health, genetic endowment, socioeconomic status and health behaviors. Determinants of positive and negative self-rated health are not mirror images.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.182
Threshold uncertainty score0.835

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.088
GPT teacher head0.448
Teacher spread0.359 · 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