Exploring socio-ecological factors that support the navigation and negotiation of education by unaccompanied and separated children in Greece
Bibliographic record
Abstract
Greece is home to thousands of unaccompanied and separated children who continue to face education disruptions. Despite past adversities, recent research suggests that some children display educational resilience – conceptualised as a socio-ecological and socio-interactional dynamic between the child and their immediate environments leading to positive educational trajectories. This study explores the question further using a qualitatively driven mixed-methods approach. The study examined responses to a measure of socio-ecological resilience alongside in-depth interviews collected from a refugee youth sample (n = 25). Quantitative results revealed a possible connection between unaccompanied and separated children’s personal sense of resilience and their personal sense of being looked after, being known, feeling safe, and feeling celebrated. Qualitative results identified socio-ecological factors that supported these children in navigating and negotiating education in Greece. The study sheds light on factors that enable (resilience factors) or hinder (risk factors) the educational trajectories of unaccompanied and separated children in Greece.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".