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Record W2167170547

Community belonging and health.

2002· article· en· W2167170547 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

VenuePubMed · 2002
Typearticle
Languageen
FieldHealth Professions
TopicCommunity Health and Development
Canadian institutionsStatistics Canada
Fundersnot available
KeywordsSense of communityCommunity healthLogistic regressionPsychologyGerontologySocial psychologyMedicinePublic healthNursing
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVES: This article explores the relationship between sense of community belonging and self-perceived health. DATA SOURCE: The data are from the first half of cycle 1.1 of the Canadian Community Health Survey (CCHS), collected from September 2000 through February 2001. ANALYTICAL TECHNIQUES: Descriptive information relating socio-demographic variables to sense of community belonging is presented. Multiple logistic regression is used to study the association between sense of community belonging and self-perceived health, while controlling for socio-demographic conditions and other health-related factors. MAIN RESULTS: Just over half (56%) of Canadians report a strong or somewhat strong sense of belonging to their local community. Community belonging is associated with self-perceived health, even when controlling for socio-economic status, the presence of chronic disease, health behaviours, stress and other factors.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.815
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0030.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.269
GPT teacher head0.410
Teacher spread0.141 · 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