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МІЖВІДОМЧА ВЗАЄМОДІЯ В ПРАВООХОРОННІЙ ДІЯЛЬНОСТІ З ПИТАНЬ РЕАБІЛІТАЦІЇ ДІТЕЙ-ЖЕРТВ ЗЛОЧИНІВ

2025· article· uk· W4412395470 on OpenAlexaboutno aff
Тетяна Кравцова, Галина Гапук, Дарія Герич

Bibliographic record

VenueНаука і техніка сьогодні · 2025
Typearticle
Languageuk
FieldEngineering
TopicMilitary Technology and Strategies
Canadian institutionsnot available
FundersUNICEF
KeywordsPhilosophy

Abstract

fetched live from OpenAlex

effective practices from the European Union, the United States, and Canada, where integrated child support centers and interagency cooperation ensure comprehensive assistance in a safe environment.The Ukrainian rehabilitation system is examined in terms of its current shortcomings: limited access to specialized services, insufficient professional training, fragmented support mechanisms, and inadequate funding.The study argues for the improvement of the legislative framework, the expansion of specialized infrastructure, the implementation of systematic training programs, and the establishment of effective interagency cooperation mechanisms.Practical recommendations are proposed to enhance the effectiveness of child victim rehabilitation in Ukraine, taking into account international best practices and national conditions.The article is relevant for researchers, policymakers, and practitioners in the fields of social work, psychology, law, and healthcare.

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)0.003
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 score0.010
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0030.005
Scholarly communication0.0070.003
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0100.003

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 head0.005
GPT teacher head0.210
Teacher spread0.205 · 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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