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Record W2104433153 · doi:10.1177/0022146510395027

The Impact of Generation and Country of Origin on the Mental Health of Children of Immigrants

2011· article· en· W2104433153 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 Health and Social Behavior · 2011
Typearticle
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsDisadvantageImmigrationMental healthPsychologyAdaptation (eye)Sample (material)Demographic economicsDevelopmental psychologyDemographyGeographySociologyPolitical scienceEconomicsPsychiatry

Abstract

fetched live from OpenAlex

The authors reexamine the study of generational differences in adjustment among the children of immigrants by arguing that the country of origin defines and shapes the adaptation process across generations. Using a sample of children in Toronto, the authors demonstrate that generational differences in the mental health of children occur only in families from countries of origin at the lowest levels of economic development. Among those at the lowest levels of economic development, a mental health advantage in the first generation evolves to a disadvantage in the 2.5 generation relative to third or later generational children. Children from backgrounds characterized by higher economic development show no initial or eventual differences from the native born. Using data from the Toronto Study of Intact Families, the authors are able to explain differences among children from low economic development backgrounds specifically in terms of increasing family conflict and decreasing school involvement across generations.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.117
Threshold uncertainty score0.994

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 studies0.0000.000
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 head0.065
GPT teacher head0.398
Teacher spread0.334 · 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