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Record W4416039702 · doi:10.18357/ijcyfs162-3202522524

FICE SPECIAL TASK FORCE “HAND IN HAND”: IMPROVING SAFETY AND WELL-BEING FOR DISPLACED UKRAINIAN CHILDREN

2025· article· en· W4416039702 on OpenAlexvenueno aff
A. Schneider, Yelyzaveta Moroz

Bibliographic record

VenueInternational Journal of Child Youth and Family Studies · 2025
Typearticle
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsnot available
Fundersnot available
KeywordsTask (project management)Work (physics)Task forceFace (sociological concept)UkrainianMental healthRefugee

Abstract

fetched live from OpenAlex

FICE International is a network of professionals and organizations from over 30 countries that is committed to child and youth care. Its members work in social pedagogy, social work, psychology, and education to ensure high-quality support for children and young people. To assist vulnerable children during crises such as the war in Ukraine, FICE created the “Hand in Hand” task force in August 2022. Its mission is to improve safety and well-being for displaced children, especially those in alternative care. These children face trauma, loss, disrupted education, and mental health challenges, including acute stress and post-traumatic stress disorder. Hand in Hand provides vital social–emotional resources and ensures access to education and services, making a meaningful difference in the lives of crisis-affected 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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.052
Threshold uncertainty score0.103

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.004
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0110.002

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 head0.012
GPT teacher head0.309
Teacher spread0.298 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2025
Admission routes1
Has abstractyes

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