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Record W2950113215 · doi:10.1177/2156869319856930

Immigration, Visible-Minority Status, Gender, and Depression

2019· article· en· W2950113215 on OpenAlexfundaboutno aff
Shirin Montazer

Bibliographic record

VenueSociety and Mental Health · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicRacial and Ethnic Identity Research
Canadian institutionsnot available
FundersCanadian Institutes of Health ResearchSocial Science Research Council
KeywordsImmigrationResidenceDepression (economics)RefugeePsychologyDemographyMental healthAngerGerontologyMedicinePsychiatrySociologyGeography

Abstract

fetched live from OpenAlex

This study examines if the association between length of residence and mental health—as measured by depression—of immigrants post-arrival in the host country is altered by visible-minority status and gender among a sample of immigrants to Toronto, Canada, as compared to the native-born. The analytic sample excluded refugees. Of the 1,911 adults included, 23 percent were foreign-born. Adjusted multivariate results indicate a significant and positive association between depression and length of residence in the host country—but only among visible-minority immigrant men as compared to Canadian-born men. The positive association between depression and length of residence among visible-minority immigrant men is found to be due to a parallel rise in perceived discrimination and the experience of anger with tenure in the host country.

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 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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.310
Threshold uncertainty score0.989

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 studies0.0010.000
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 head0.031
GPT teacher head0.385
Teacher spread0.354 · 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 teacher head, 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

Citations5
Published2019
Admission routes2
Has abstractyes

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