MétaCan
Menu
← Back to cohort
Record W7162021183 · doi:10.82308/30194

Life course socioeconomic position and major depression in Canada

2011· dissertation· en· W7162021183 on OpenAlexaboutno aff
Alison Park

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldSocial Sciences
TopicHealth disparities and outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsPopulationPosition (finance)Depression (economics)Socioeconomic status

Abstract

fetched live from OpenAlex

Les résultats concernant le rôle de la position socioéconomique d'origine sur la dépression à l'âge adulte sont contradictoires. A l'aide de modèles de régression logistique, nous avons évalué l'impact du niveau d'étude des parents sur les épisodes dépressifs majeurs (EDM). Les données proviennent des sept premières vagues de l'Enquête nationale sur la santé de la population (1994/95 à 2006/07). Nous avons retenu 1,267 participants âgés de 12 à 24 ans à l'inclusion. Le niveau d'étude du père n'avait pas d'effet. Le risque de déclarer un EDM était plus élevé chez les répondants dont la mère avait un faible niveau d'étude (OR: 2.04, IC 95%: 1.25, 3.32). L'impact du niveau d'éducation de la mère n'était pas diminué après ajustement sur les expériences difficiles durant l'enfance, la position socioéconomique, les facteurs psychosociaux et l'état de santé physique. Ces résultats suggèrent que le niveau d'étude de la mère joue un rôle important dans l'étiologie de la dépression à l'âge adulte.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.021
Threshold uncertainty score0.151

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.003
Science and technology studies0.0030.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.013
GPT teacher head0.306
Teacher spread0.293 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2011
Admission routes1
Has abstractyes

Explore more

Same topicHealth disparities and outcomes→French-language works237,207→