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Record W3201492479 · doi:10.1080/15332985.2021.1980481

Condors and tigers: a literature review on arts, social support, and mental health among immigrant children in Canada

2021· review· en· W3201492479 on OpenAlexaffabout
Abdelfettah Elkchirid, Maryam Motia

Bibliographic record

VenueSocial Work in Mental Health · 2021
Typereview
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsMental healthThe artsImmigrationAffect (linguistics)PsychologyFacilitationDevelopmental psychologyPsychiatryPolitical science

Abstract

fetched live from OpenAlex

Migration is stressful and potentially detrimental to the mental health of immigrant children. However, they may draw tremendous mental health benefits by participating in group-based arts programs. In this literature review, we aimed to answer the question: how does participation in group-based arts programs impact the mental health of immigrant children in Canada? Findings indicated that factors at personal, interpersonal, and structural levels affect the mental health of these populations. Arts classes and programs at schools or communities would promote these children’s mental health through both the direct impact of artworks and the facilitation of social support within groups.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.745
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.023
GPT teacher head0.370
Teacher spread0.347 · 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.

Study designNot applicable
Domainnot available
GenreReview

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

Citations8
Published2021
Admission routes2
Has abstractyes

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