PROBLEMS OF SOCIALIZATION OF DISPLACED CHILDREN WITH DISABILITIES
Bibliographic record
Abstract
The REACH project at Kh. Dosmukhamedov Atyrau University is a unique experience that has created a model of educational space and programs for displaced children with disabilities. The children’s parents, school teachers, school psychologists, and volunteers took part in the project and provided methodological support. The purpose of the article is to identify the problems of socialization of refugee children with special educational needs on the basis of the research conducted in the framework of the research project. In the framework of an international partnership project for 2021-2024, scientists from Simon Fraser University (Canada), Yarmouk University (Jordan), and Canakkale University (Turkey) carried out significant work with displaced children from the war zone for their successful socialization, education, and provision of necessary educational resources. Project participants from Atyrau University (RK) conducted a series of research activities with special children from several refugee families who returned from Syria. On the base of Kids University (Kh. Dosmukhamedov Atyrau University) student volunteers demonstrated the effectiveness of introducing elements of fine art into the learning process for displaced children with disabilities. In addition, the use of musical and dramatic elements enhances interest in learning and motivates the expression of immediate emotions, contributing to the overall therapy of students. This article emphasizes the importance of advisory and methodological support for refugee children, and the results of the scientific research will become valuable material for scientists in this field.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.009 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".