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Record W2117038050 · doi:10.1177/002214650404500203

Marital Transitions and Mental Health

2004· article· en· W2117038050 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

VenueJournal of Health and Social Behavior · 2004
Typearticle
Languageen
FieldSocial Sciences
TopicHealth disparities and outcomes
Canadian institutionsSocial Sciences and Humanities Research Council
Fundersnot available
KeywordsMental healthCausationMarital statusPsychologyBritish Household Panel SurveyMarital separationSocial supportPsychiatryDemographySocial psychologyPopulationSociologyDemographic economicsPolitical science

Abstract

fetched live from OpenAlex

Most research identifies marital disruption as a precursor for poor mental health but is generally unable to discount the potential selection effect of poor mental health leading to marital disruption. We use data from nine annual waves of the British Household Panel Survey to examine social selection and social causation as competing explanations. Mental health is measured using the general health questionnaire. We examine mental health at multiple time points prior to and after a marital transition through separation or divorce and compare this process to those who experience widowhood. All groups transitioning out of marriage have a higher prevalence of poor mental health afterwards but for those separated or divorced, poor mental health also precedes marital disruption, lending support to both social-causation and social-selection processes. The processes both preceding and after the transition to widowhood differ, with increased prevalence of disorder centering around the time surrounding the death itself

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)0.001
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 score0.445
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
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 head0.038
GPT teacher head0.393
Teacher spread0.355 · 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