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Record W2133400180 · doi:10.1080/01612840600996257

PERCEPTIONS OF MENTAL HEALTH AMONG RECENTLY IMMIGRATED MEXICAN ADOLESCENTS

2006· article· en· W2133400180 on OpenAlexaff
Carolyn García, Elizabeth Saewyc

Bibliographic record

VenueIssues in Mental Health Nursing · 2006
Typearticle
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsUniversity of British Columbia
FundersU.S. Public Health Service
KeywordsMental healthImmigrationAnxietyThematic analysisPsychologyPerceptionVulnerability (computing)Clinical psychologyPsychiatryQualitative researchMedicineGerontologySociology

Abstract

fetched live from OpenAlex

Rates of anxiety, depression, and suicidal ideation are high among Latino adolescents in the U.S., many of whom are immigrants. Immigration during adolescence creates risk factors for mental health problems. The purpose of this study was to explore the health-related perceptions of Mexican-origin immigrant adolescents to inform the design of culturally and developmentally appropriate mental health services. This focused ethnography was guided by Bronfenbrenner's ecological framework and symbolic interactionism. Fourteen adolescents were recruited from two non-health-based community settings. Data from one-to-one semi-structured interviews and a visual narrative project were coded and analyzed inductively. Three thematic patterns were identified: "mentally healthy," "mentally unhealthy," and "health promotion." Increased awareness of cultural influences and immigration on Latino adolescents' mental health is needed. Mental health nurses are in a unique position to educate and to influence accessibility of services.

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 score0.333
Threshold uncertainty score1.000

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 head0.014
GPT teacher head0.357
Teacher spread0.343 · 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

Citations47
Published2006
Admission routes1
Has abstractyes

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