Social Navigation and the Resettlement Experiences of Separated Children in Canada
Bibliographic record
Abstract
This article explores the implications of language and dis- course for the experiences of separated refugee children in Canada, and the ways in which anti-refugee and anti-child discourses shape the terrain of resettlement. The article begins by tracing the academic and popular discourses of refugee populations generally, and separated children specifically. Given the formulaic and rigid portrayals and representations, we introduce the concept of social navigation, which provides a useful framework to study the resettlement experiences of separated children. Following an overview of the study’s methodology, we explore the social navigation and resettlement experiences of seventeen youth. In particular, we highlight the creative, resourceful, and thoughtful ways in which the youth navigated the refugee determination system, experiences of discrimination and isolation, as well as separation and loss during the resettle- ment process. The article ultimately underscores the ways in which these children and youth strategically navigate resettlement, overcome challenges, and—despite significant ideological barriers and material obstacles—ensure their survival and well-being as individuals and as groups.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.024 | 0.012 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.001 | 0.004 |
| 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".