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Record W7108205959 · doi:10.1177/0044118x251392245

Settling In: The Role of Immigrant Generation in School, Anxiety, and Peer-Related Acculturation Challenges for Seventh Grade Students

2025· article· en· W7108205959 on OpenAlexaffabout

Bibliographic record

VenueYouth & Society · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicRacial and Ethnic Identity Research
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsAcculturationImmigrationMultilevel modelPopulationTest (biology)Sample (material)At-risk studentsEthnically diverse

Abstract

fetched live from OpenAlex

Immigrant youth represent a growing population in Canada, and ensuring their successful integration with schools is essential to promoting long-term equity. The present analysis contributes to our understanding of acculturation challenges experienced by immigrant youth examining how immigrant generation (first, second, and third), predicts school, anxiety, and peer-related risk and protective factors. A sample of 783 grade seven students across 31 schools completed self-report surveys; responses were analyzed using multilevel models to test for differences across generation. While few differences between groups were found at a conventional significance level, trends suggest increased risks for first-and second-generation youth compared with non-immigrant youth. Specifically, in comparison to non-immigrants, second-generation youth were significantly more likely to report having peers involved in delinquency. In addition, first-generation youth reported marginally lower levels of academic self-confidence and marginally higher levels of internalizing anxiety symptoms compared with non-immigrant youth. Implications and directions for future research are explored.

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)0.003
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.103
Threshold uncertainty score0.926

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
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 head0.057
GPT teacher head0.378
Teacher spread0.321 · 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 designQualitative
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

Citations1
Published2025
Admission routes2
Has abstractyes

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