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Record W3112978280 · doi:10.1037/ort0000524

Discrimination, marginalization, belonging, and mental health among Somali immigrants in North America.

2020· article· en· W3112978280 on OpenAlexaboutno aff
Alisa K. Lincoln, Emma Cardeli, George Sideridis, Carmel Salhi, Alisa B. Miller, Tibrine da Fonseca, Osob Issa, B. Heidi Ellis

Bibliographic record

VenueAmerican Journal of Orthopsychiatry · 2020
Typearticle
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsnot available
FundersNational Institute on Minority Health and Health Disparities
KeywordsSomaliMental healthAcculturationPsycINFOContext (archaeology)ImmigrationPsychologyPublic healthGerontologyMedicinePsychiatryPolitical scienceMEDLINEGeography

Abstract

fetched live from OpenAlex

In this study, we examined the relationships among discrimination and mental health for Somali young adults, a group at risk for an unfavorable context of reception, and the way in which individual- and community-level factors explain these associations. The present study drew upon data collected during the first wave of the Somali Youth Longitudinal Study, a community-based participatory research project focused on understanding and supporting the healthy development of Somali young adults in four different regions in North America: Boston, MA, Minneapolis, MN, and Portland/Lewiston, ME in the United States and Toronto, Canada. Somali men and women aged 18-30 participated in quantitative interviews that included questions about their health, their neighborhoods, and their thoughts and feelings about their resettlement communities (N = 439). Results indicate that discrimination has a direct effect on worse mental health; this effect was mediated through both individual (marginalized acculturation style) and community-level (sense of belonging) factors. These findings suggest that factors associated with a receiving society's attitudes and behaviors, in addition to its structural supports and constraints, may be particularly important in understanding immigrant mental health. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

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 score0.072
Threshold uncertainty score0.775

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.008
GPT teacher head0.281
Teacher spread0.273 · 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

Citations52
Published2020
Admission routes1
Has abstractyes

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Same venueAmerican Journal of OrthopsychiatrySame topicMigration, Health and TraumaFrench-language works237,207