THE ROLE OF SCHOOLS IN SHAPING THE SETTLEMENT EXPERIENCES OF NEWCOMER IMMIGRANT AND REFUGEE YOUTH
Bibliographic record
Abstract
<p class="CYFSAbstract">This paper draws on focus groups and interviews with newcomer immigrant and refugee youth between the ages of 16 and 22 to consider how schools shape their settlement processes and their sense of social inclusion and belonging. In particular, the paper focuses on newcomer youth’s perspectives and experiences of schooling in a medium-sized immigrant-receiving city in Canada. Analysis reveals that schools function as sites of both inclusion and exclusion in ways that produce ambivalence in immigrant and refugee youth with respect to their sense of social inclusion and belonging to community life. One recommendation emerging from the analysis is that educational practitioners and other community stakeholders interested in supporting the social inclusion of newcomer youth should develop and implement ESL and ELD programs and ensure adequate funding of these essential programs. There is also a need for collaborative, dialogical practices that provide all relevant stakeholders, including newcomer youth themselves, opportunities to come together to create<em> </em>new possibilities for understanding and cooperative action.</p>
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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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.015 | 0.011 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.001 | 0.002 |
| 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 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".