"When you follow your heart, you provide that path for others": Indigenous Models of Youth Leadership in HIV Prevention
Bibliographic record
Abstract
Cultivating and supporting Indigenous peer youth leaders should be an important part of Canada’s response to HIV. This paper examines how a group of Indigenous youth leaders took up the notion of leadership in the context of HIV prevention. Taking Action II was a community-based participatory action research project. Eighteen Indigenous youth leaders from across Canada were invited to share narratives about their passion for HIV prevention through digital storytelling. One-on-one semi-structured interviews were conducted with participants after they developed their digital stories, and then again several months later. A thematic analysis of the interviews was conducted to identify major themes. Youth identified qualities of an Indigenous youth leader as being confident, trustworthy, willing to listen, humble, patient, dedicated, resilient, and healthy. A number of key examples and challenges of youth leadership were also discussed. In contrast to individualized mainstream ideals, Indigenous youth in our study viewed leadership as deeply connected to relationships with family, community, history, legacies, and communal health.
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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 | 0.005 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.014 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| 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".