Spaces & Places: Understanding Sense of Belonging and Cultural Engagement Among Indigenous Youth
Bibliographic record
Abstract
Indigenous youth continue to live with a socioeconomic and political legacy of colonization and marginalization, confronted by environments harmful to their psychosocial development. Resource strained communities may compound these experiences and outcomes for many youth. Increasingly, research points to the mitigating effects of resilience for youth exposed to contextual risks. Resilience is however dependent on both personal capacities and the availability of relevant resources within families, schools, and communities. Meaningful connection to community together with cultural continuity are important contributors to resilience. However, without critical examination of the conditions that support such youth engagement, attempts at fostering these connections may be largely unsuccessful. Spaces & Places explored the cultural continuity and civic engagement of Indigenous youth living in three communities of Atlantic Canada. Using an interactive, transactional theory of resilience, we explored how youth interact with community resources, and how these interactions impact connections with their community and culture. Participatory qualitative image-based methods were used to explore the availability of spaces and how they establish a sense of belonging to community and culture for youth. We used video capture of a day-in-the-life of participants with photo elicitation in reflective interviews, within a Participatory Action Research framework. Youth and community partners actively participated in the research process, including data analysis and knowledge mobilisation.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.011 | 0.014 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".