Intersectionality of Resilience: A Strengths-Based Case Study Approach With Indigenous Youth in an Urban Canadian Context
Bibliographic record
Abstract
framework that exposes intersecting forms of oppression within inner city urban contexts, while also critically reframing intersectionality to include strength-based perspectives of overlapping individual, social, and structural resilience-promoting processes. Drawing on Indigenous methodologies, a "two-eyed seeing" approach, and Stake's case study methodology involving multiple data sources (i.e., four sharing circles, 38 conversational interviews, four rounds of photovoice, and naturalistic interactions that occurred with 28 youth over an entire year), this qualitative study outlines three intersecting processes that facilitate youth resilience and wellness in various ways: (a) strengthening cultural identity and family connections; (b) engagement in social groups and service to self and community; and (c) practices of the arts and a positive outlook. In the end, implications for research, clinical practice, and health or community interventions are also discussed.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.007 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.053 | 0.019 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.004 | 0.014 |
| Research integrity | 0.002 | 0.003 |
| 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".