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Record W2589759557 · doi:10.1037/cap0000102

What can we expect of the mental health and well-being of Syrian refugee children and adolescents in Canada?

2017· article· en· W2589759557 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

VenueCanadian Psychology/Psychologie canadienne · 2017
Typearticle
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsUniversity of WaterlooDalhousie University
Fundersnot available
KeywordsRefugeePsychologyMental healthDevelopmental psychologyPsychiatryPolitical science

Abstract

fetched live from OpenAlex

Canada has accepted over 35,000 Syrian refugees since November 2015; just under half of these refugees are under the age of 15 (Government of Canada, 2016; United Nations High Commissioner for Refugees, 2016). This paper reviews the current literature on the pre- and post-arrival mental health of refugee children and adolescents to determine (a) whether children and adolescents are liable to be suffering from serious mental health difficulties relating to pre-arrival trauma that will hamper their future well-being and integration into Canadian society and (b) how the well-being of young refugees in Canada can best be promoted. We particularly focus on how postmigration factors may impact the mental health of child and adolescent refugees. This review has implications for both policy and practice, with a need to concentrate services on those young people who are most vulnerable.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.055
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.018
GPT teacher head0.306
Teacher spread0.288 · 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