Are We Ready? Examining Teachers’ Experiences Supporting the Transition of Newly-Arrived Syrian Refugee Students to the Canadian Elementary Classroom
Bibliographic record
Abstract
The Syrian refugee crisis has prompted more than 39 000 refugees to make Canada their home, many of them children who have become a significant part of our classroom populations (Government of Canada, 2017). This study aimed to explore the question “How are teachers supporting the transition of Syrian refugee students into the elementary classroom?” Given the emergent nature of this topic, little literature exists on the pedagogies that will best support these students, though educators might learn from the negative experiences that past refugee student groups had within the Canadian education system in order to guide their teaching (Yau, 1995; Young and Chan 2014). \nUsing semi-structured interviews based on qualitative research protocols, this study found that the ability to support newly-arrived Syrian refugee students was affected by (1) the different experiences that Syrian refugee students have had, (2) teacher ability to build positive student-teacher relationships, (3) teacher knowledge of English language learner (ELL) pedagogy, and (4) teacher readiness. In order to address the needs of newly-arrived Syrian refugee students, educational stakeholders will have to re-evaluate the financial and practical resources – such as training workshops – made available to teachers welcoming Syrian refugee students to their classrooms.
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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 | 0.001 | 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 | 0.004 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".