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Record W2992096296 · doi:10.1080/08322473.2019.1684182

Restoring Lost Resources for Young Refugees: An Integrative Review of the Resilience-Building Potential of Expressive Therapies (Restitution des ressources perdues pour les jeunes réfugiés : examen par intégration du potentiel de développement de la résilience des thérapies d’expression)

2019· article· fr· W2992096296 on OpenAlexaff
Lara Kalaf, Pierre Plante

Bibliographic record

VenueCanadian Journal of Art Therapy · 2019
Typearticle
Languagefr
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsRefugeePsychological resilienceRestitutionResilience (materials science)PsychologySociologyCriminologySocial psychologyPolitical scienceLaw

Abstract

fetched live from OpenAlex

Research continues to superficially address the social and cultural factors that influence young refugees’ resilience. Expressive therapies have been found to promote resilience in at-risk youth, but empirical research is lacking with refugee children and adolescents. In this paper, we provide an integrative review of the literature on young refugees about expressive therapy and resilience presented through an ecological framework. The review suggests that expressive therapies can enhance young refugees’ resilience by mediating factors across various levels of their ecology. The importance of considering environmental and cultural factors during program development is emphasized.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.243
Threshold uncertainty score0.991

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.018
GPT teacher head0.323
Teacher spread0.305 · 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

Citations7
Published2019
Admission routes1
Has abstractyes

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