Sense of Belonging in the Urban School Environments of Aboriginal Youth
Bibliographic record
Abstract
It is well established that educational attainment and social support are critical social determinants of health among Aboriginal Canadians. Still, the gap in educational attainment with non-Aboriginal Canadians continues to grow, and little is known about the role of social support as a health determinant among Aboriginal youth. In collaboration with The Wabano Centre for Aboriginal Health (Ottawa, Canada), we undertook focus groups with urban Aboriginal youth at-risk to examine perceptions of their urban school environments, including access to social support. Data were analyzed using a general inductive approach. Results indicate that youths’ perceived level of trust is key to the uptake of social support and vital to fostering sense of belonging. Youth identified social support as both structural and functional; the former being a symbol of the ‘potential to help’ and the latter representing ‘actual help.’ The unique challenges endured in the home environments of Aboriginal youth at-risk means that teachers and staff must be prepared to provide forms of support that are responsive to these realities. Part of the solution will come from implementing measures of cultural safety that support the resources needed for Aboriginal youth at-risk to experience sense of belonging, thereby making urban schools places where youth will achieve their educational goals.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".