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Record W3203867139 · doi:10.17605/osf.io/q2wxy

Impact of Family Loss and Separation on Refugee Youth: Implications for Policy and Programs: Scoping Review

2020· article· en· W3203867139 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueOSF Preprints (OSF Preprints) · 2020
Typearticle
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsnot available
Fundersnot available
KeywordsRefugeeSeparation (statistics)Political scienceEconomic growthComputer scienceEconomicsLaw

Abstract

fetched live from OpenAlex

Background: Refugee youth separated from their families comprise a socially vulnerable population. The barriers in accessing social and healthcare services escalates their trauma. This review maps the extent, volume and attributes of the existing literature around the impacts of separation on refugee youth in terms of their mental health and wellbeing. Methodology: A systematic search strategy and PRISMA-ScR model was adopted to review 112 peer-reviewed articles from three major databases and open-source journals to find 32 eligible articles. Charted data was analyzed through reflexive Thematic Analysis to answer research questions on patterns, impacts, policy supports and potential solutions for unaccompanied refugee youths. Results: About 92% of the research focused on separated refugee youth, whereas 8% focused on guardians. The majority of the research on this topic was conducted in EU countries, the remainder being from Canada, USA, UK, and Australia. Most of the youth participants in the research were male. Themes included prevalence of mental health issues (e.g. PTSD, Depression, and Anxiety, etc.), their predictors (e.g. stress, number of traumatic experiences, etc.) and effective interventions. Effective interventions included psychotherapy, art therapy and cognitive behavioural therapy. Without intervention, mental health issues persisted or got worse over time. Social empowerment opportunities, material resources and guardian support skills served as protective factors to youth mental health. Conclusion: The review identified the extent of current research and scope for further research. The next step is to collect data from refugee youth with lived experience and their service providers (through a co-design approach) to develop a ‘Service Toolkit’ and advocacy materials for policy implications.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.596
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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)0.0040.010

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 head0.082
GPT teacher head0.434
Teacher spread0.352 · 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