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Record W3088818582 · doi:10.1177/1468017320958145

Unaccompanied minors’ needs and the child welfare response

2020· article· en· W3088818582 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.

Bibliographic record

VenueJournal of Social Work · 2020
Typearticle
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsIntervention (counseling)WelfareChild protectionPsychologyHuman rightsDescriptive statisticsMedicinePolitical scienceNursingPsychiatryLaw

Abstract

fetched live from OpenAlex

Summary This study examines a sample of 1705 cases of unaccompanied and separated children (UASCs) included in a pilot project for early recovery child protection intervention. The project was started in two Southern Italian regions; multidisciplinary teams ensured an immediate intervention at the moment of disembarkation, working on children engagement and need assessment. Data were gathered about minors’ characteristics and services activated. Descriptive information was selected to develop a profile of cases and bivariate analysis was used to assess the relationship between case characteristics and outcomes. Findings The UASCs belong to 38 different nationalities, forming a very diverse group in terms of culture, reasons for leaving their country and past experiences, most of them traumatic. A high number of children were victims of torture, maltreatment, and human trafficking. The empirical evidence highlights that, at the end of the intervention, the majority of UASCs were still hosted in first-level facilities that could respond to basic needs only. Second-level centres were not always equipped to promote their integration process. Applications Findings suggest that even if an early child protection intervention to identify children’s strengths and vulnerabilities was crucial for the children engagement, a parallel action for advocacy at national and European level needs to be carried out to raise awareness about human rights violations, the complexity of these minors’ needs, and the necessity to promote adequate services in the reception system, giving voice to these children.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.667
Threshold uncertainty score0.709

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.020
GPT teacher head0.298
Teacher spread0.278 · 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