Refugee children’s resilience: A qualitative social ecological study of life in a camp
Bibliographic record
Abstract
Journal of Refugee Studies. doi:10.1093/jrs/feaa092. There were errors in the affiliations and corresponding author details of this paper. The author affiliations originally appeared as NILÜFER KURU Faculty of Education, Department of Early Childhood Education, Siirt University, Siirt Merkez/Siirt, Turkey and Dalhousie University/Resilience Research Centre, 6420 Coburg Road, Halifax, Nova Scotia B3H 4R2, Canada MICHAEL UNGAR Dalhousie University/Resilience Research Centre, 6420 Coburg Road, Halifax, Nova Scotia B3H 4R2, Canada [email protected] They should have appeared as NILÜFER KURU Department of Early Childhood Education, Siirt University, Siirt, Turkey; Resilience Research Centre, School of Social Work, Dalhousie University, Halifax, Canada [email protected] MICHAEL UNGAR Resilience Research Centre, School of Social Work, Dalhousie University, Halifax, Canada This has been corrected in print and online.
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 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 | 0.009 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.014 | 0.010 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.006 | 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".