Refugee youth in settlement, schooling, and social action: reviewing current research through a transnational lens
Bibliographic record
Abstract
How do refugee youth engage in peacebuilding, civic participation, and social action through their educational experiences? This article draws from transnational frameworks, specifically Ajrun Appadurai’s notion of ‘imagined worlds’ with an emphasis on ethnoscapes as a framework through which to review literature on refugee young peoples’ involvement in peacebuilding, participation, and social action in schools, focusing particularly on experiences from countries of settlement outside of refugee camps. This study examines current literature on refugee youth schooling and social engagement along three main themes: the student, the school, and the wider society. Each section considers the implications of the scholarly literature in a transnational framework, identifying what transnational flows (i.e. people, capital, ideas, media, technology, etc.) and what imagined worlds are reflected in the literature. In conducting this analysis, I aim to dislodge peacebuilding education from spatially fixed contexts of ‘fragility’ that assigns a nation-state as the primary reference point of peace and conflict, to instead examine the transnational nature both of conflict and of the agency that displaced youth can mobilize to transform conflict through peacebuilding.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".