Meeting Indigenous youth where they are at: knowing and doing with 2SLGBTTQQIA and gender non-conforming Indigenous youth: a qualitative case study
Bibliographic record
Abstract
BACKGROUND: Research carried out in partnership with Indigenous youth at The Native Youth Sexual Health Network (NYSHN) demonstrates that Indigenous youth can (and do) develop and implement public health interventions amongst their peers and within their communities, when supported by non-youth allies and mentors. METHODS: Together, NYSHN and Well Living House researchers co-designed a qualitative case study to demonstrate and document how Indigenous youth can and do practice their own form of public health implementation research (PHIR) in the realm of mental health promotion for 2SLGBTTQQIA and Gender Non-Conforming Indigenous youth. Academic and Indigenous youth researchers were: participant observers; conducted a focus group; and designed and implemented an online survey with Indigenous youth project participants. Governance, intellectual property, financial terms and respective academic and NYSHN roles and responsibilities were negotiated using a customized community research agreement. The data were thematically analyzed using a critical decolonizing lens that recognizes the historic and ongoing marginalization of Indigenous peoples while also highlighting the unique and diverse strengths of Indigenous communities' knowledge and practice in maintaining their health and wellbeing. RESULTS: Analysis revealed how colonialism and intergenerational trauma have impacted Indigenous youth identity and the value of self-determination as it relates to their identity, their relationships, health and wellbeing. We also learned how knowing and doing about and for Indigenous youth needs to be youth determined - 'nothing about us, without us' -- yet also supported by allies. Finally, our analysis shares some promising practices in knowing and doing for and with Indigenous youth. CONCLUSIONS: This study provides a reminder of the need to centre Indigenous youth throughout PHIR in order to realize sustainable benefit from research, services and programming. It emphasizes the need to recognize Indigenous youth as leaders and partners in these initiatives, support their efforts to self-determine, compensate them as partners, and prioritize Indigenous youth-determined frameworks and accountability mechanisms.
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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 | 0.008 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.019 | 0.011 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.002 | 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".