Research of obstacles in inclusion of forced migrant children in the primary education in Serbia
Bibliographic record
Abstract
Since 2015, as many as 1.5 million migrants and refugees have passed through Serbia, whereas children account for one quarter of that number. Due to their longer stay in the territory of Serbia, a need has arisen, among other things, to include them in the education system. This research was aimed at determining factors that lead to the creation of obstacles in the inclusion of forced migrant children in primary education in Serbia, as well as during the process of education and, thus, how to overcome those obstacles in practice. Through semi-structured interviews, data were collected about the experience in teaching work with forced migrant children in Primary School "Ljupče Španac" in Bela Palanka. The participants of the research were the teachers of this school who during the academic 2018/19 year for the first time gained experience in working with forced migrant children. The research results show that greater system support is necessary for including forced migrant children in education, while an outstanding obstacle is the language barrier - in communication with children, but also with parents.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.004 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.005 |
| 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".