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Record W2888029016 · doi:10.1177/2378023118795954

Beyond America: Cross-national Context and the Impact of Religious Versus Secular Organizational Membership on Self-rated Health

2018· article· en· W2888029016 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.

Bibliographic record

VenueSocius Sociological Research for a Dynamic World · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicReligion, Spirituality, and Psychology
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsReligious pluralismContext (archaeology)Survey data collectionReligious organizationSocial psychologySociologyPolitical sciencePsychologyGeographyLaw

Abstract

fetched live from OpenAlex

Studies using data from the United States suggest religious organizational involvement is more beneficial for health than secular organizational involvement. Extending beyond the United States, we assess the relative impacts of religious and secular organizational involvement on self-rated health cross-nationally, accounting for national-level religious context. Analyses of data from 33 predominantly Christian countries from the 2005–2008 World Values Survey reveal that active membership in religious organizations is positively associated with self-rated health. This association’s magnitude is higher than the magnitude of associations between many memberships in secular organizations and health. The positive association between involvement in religious organization and self-rated health is moderated by national levels of religious pluralism such that positive associations are primarily found in nations high in religious diversity. These results replicated in a sample of 21 majority-Christian nations from the 2010–2014 World Values Survey.

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)0.006
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.170
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.010
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 head0.123
GPT teacher head0.518
Teacher spread0.395 · 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