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Record W2156007315 · doi:10.1177/0192513x03254519

“In Sickness and in Health”

2003· article· en· W2156007315 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

VenueJournal of Family Issues · 2003
Typearticle
Languageen
FieldSocial Sciences
TopicHealth disparities and outcomes
Canadian institutionsUniversity of TorontoUniversity of Victoria
Fundersnot available
KeywordsCohabitationMental healthPhysical healthDemographySelection (genetic algorithm)PopulationPsychologyGerontologyMedicineGeographySociologyPsychiatry

Abstract

fetched live from OpenAlex

Using data from the 1994-95 (Canadian) National Population Health Survey (6,494 women, 5,368 men), we investigated the impact of cohabitation on a range of physical and mental health indicators, controlling for self-selection into cohabitation and other relevant factors. Uncontrolled results indicate that the physical and mental health of cohabitors tends to fall between that of the married and the divorced/separated, widowed, and single/never married. However, when other factors are controlled, health differences between cohabitors and the currently married become nonsignificant. Self-selection, into cohabitation and into marriage, initially appears to play a significant role in accounting for variations in health, but with controls added to the models, selection mostly becomes nonsignificant. We concluded that self-selection at most may explain a small proportion of the variation in health but that protection effects are more likely to explain the positive health advantages of marriage and cohabitation.

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)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.592
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.052
GPT teacher head0.413
Teacher spread0.362 · 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