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Record W2134947143 · doi:10.1177/1359104512444117

Addressing trauma in collaborative mental health care for refugee children

2012· article· en· W2134947143 on OpenAlexaff
Cécile Rousseau, Toby Measham, Lucie Nadeau

Bibliographic record

VenueClinical Child Psychology and Psychiatry · 2012
Typearticle
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsMcGill University
Fundersnot available
KeywordsAlliancePsychosocialRefugeeMental healthActive listeningClosenessSocial workNursingPsychologyNarrativeChild and adolescent psychiatryMedicinePsychiatryPsychotherapist

Abstract

fetched live from OpenAlex

Primary care institutions, including clinics, schools and community organizations, because of their closeness to the family living environment, are often in a privileged position to detect problems in traumatized refugee children and to provide help. In a collaborative care model, the child psychiatrist consultant can assist the primary care consultee and family in holding the trauma narrative and organizing a safe network around the child and family. The consultant can support the establishment of a therapeutic alliance, provide a cultural understanding of presenting problems and negotiate with the consultee and the family a treatment plan. In many settings, trauma focused psychotherapy may not be widely available, but committed community workers and primary care professionals may provide excellent psychosocial support and a forum for empathic listening that may provide relief to the family and the child.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.111
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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.064
GPT teacher head0.479
Teacher spread0.415 · 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 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

Citations107
Published2012
Admission routes1
Has abstractyes

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