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Record W2546525884 · doi:10.1177/2156869316671372

Economic Conditions in Countries of Origin and Trajectories in Distress after Migration to Canada

2016· article· en· W2546525884 on OpenAlexaffabout
Shirin Montazer, Blair Wheaton

Bibliographic record

VenueSociety and Mental Health · 2016
Typearticle
Languageen
FieldHealth Professions
TopicEmployment and Welfare Studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsImmigrationMental healthDemographic economicsGeneralizability theoryDistressPopulationMetropolitan areaCountry of originDemographyPsychologyGeographySociologyPolitical scienceEconomicsDevelopmental psychologyPsychiatryClinical psychology

Abstract

fetched live from OpenAlex

This paper re-examines the study of immigrant mental health by arguing that the level of economic development of origin country alters both initial mental health status and subsequent trajectories of distress over time. Using five waves of longitudinal survey data from the National Population Health Survey of adults living in three metropolitan cities in Canada ( N = 2,887), results show an increase in distress with time, but mainly among immigrants from lower gross national product (GNP) origin countries and only for the first 5 years postarrival, followed by a decline among all immigrants, irrespective of origin-country GNP. Increases in chronic stress exposure fully explain the initial increase in distress among immigrants from less developed countries of origin. Results call into question the generalizability of the “immigrant health paradox” to all immigrant groups and point to the importance of macro-level social and economic factors, and the matching of conditions at origin and destination, in the migration process.

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)0.000
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 score0.600
Threshold uncertainty score0.622

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.016
GPT teacher head0.358
Teacher spread0.341 · 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

Citations24
Published2016
Admission routes2
Has abstractyes

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