Building Welcoming and Inclusive Schools for Immigrant and Refugee Students: Policy, Framework and Promising Praxis
Bibliographic record
Abstract
Abstract In 2017, 22% of the Canadian population are foreign-born immigrants and one in five is a visible racial minority. Canadian schools and classrooms mirror the diversity of the society and are populated with more and more immigrant and refugee students from diverse ethnic, cultural and linguistic backgrounds each year. Uprooted from their home countries and familiar environments, immigrant and refugee students experience barriers and challenges in new living and educational environments. The increasing number of immigrant and refugee students and their unique educational needs and challenges have called building welcoming and inclusive schools a priority in Canadian education system. This chapter addresses the urgent need for high-impact policies, practices and praxis to build welcoming and inclusive schools for immigrant and refugee students through cross-sector community engagement. Based on several empirical studies, critical and extensive literature review and authors’ professional reflections, this chapter introduces a theoretical framework of building welcoming and inclusive schools for immigrant and refugee students and introduces the promising strategies of engaging community stakeholders, including educators, students, parents, governments and community organizations and agencies.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| 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".