Safety, Belonging and Success in Education for Refugees in Europe: A Systematic Review
Bibliographic record
Abstract
ABSTRACT This systematic review aims to explore refugees' educational access, experiences and outcomes in Europe since 2015. The review follows a systematic process of reviewing and synthesising texts compiled in the Hub for Education for Refugees in Europe (HERE) Knowledge Base to fill gaps in knowledge about the educational trajectories of learners of refugee and forced migrant backgrounds who have arrived in Europe. The review includes studies that focus on all forms of educational provision and services for refugees and forced migrants in Europe: formal, non‐formal and informal. The review also takes a meta‐ethnographic approach to data analysis and synthesis. Key findings highlight the interconnectedness of safety, belonging and success in education for learners with refugee and forced migrant backgrounds and the necessity of economic redistribution, cultural recognition and political participation for achieving these goals.
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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 | 0.007 | 0.035 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.004 |
| Bibliometrics | 0.008 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| 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".