Accessible Localized, Trauma-focused Support for Refugee Students in K-6 Canadian Classrooms: A Codified Workbook for Educators
Bibliographic record
Abstract
Canadian educators play an important role as first responders for the increasing number of refugee students in classrooms. Refugee students enter the classroom with prior experiences of trauma from premigration, migration, and resettlement; educators must be trained and equipped to support the needs of these students. The present research explores a fusion of Narrative Exposure Therapy (NET) and Art Therapy (AT) methodologies to design an accessible workbook format to be utilised by educators. NET and AT are effective strategies for trauma support with refugee communities and can efficiently translate into the localized and cooperative format of a workbook. An in-class workbook is a multi-modal trauma focused intervention strategy to incorporate family, peer, and community networks at the local level to accommodate the diversity and individuality of each refugee student. A biopsychosocial methodology works to emphasize the psychological, educational, and social realities of individual refugee students to develop resiliency skills and trauma support networks.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.002 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.018 | 0.003 |
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".