Marching Toward Change: Indigenous Youth Perspectives on the Missing and Murdered Indigenous Women and Girls (MMIWG) Crisis
Bibliographic record
Abstract
In response to the Missing and Murdered Indigenous Women and Girls (MMIWG) crisis in Canada, annual Marches are held to raise awareness, increase community healing, and prevent further gendered violence. Blending a Western focus group and Indigenous sharing circle, this thesis research aimed to (1) examine Indigenous youths’ perspectives on the actions that can be taken in response to the MMIWG crisis and (2) investigate the impact of engaging in the MMIWG March on Indigenous youth. Adopting a strength-based framework and guided by Indigenous methodology, this research focuses on how Indigenous youth can adapt and thrive in the face of adversity or trauma, thereby transforming their grief into resiliency, meaning, and purpose. This project aligned with a community-based participatory approach, where community members were equitable partners throughout the research process. Data was recorded, transcribed, and thematically analyzed. Data analysis resulted in four themes, consisting of (1) the Importance of Acknowledgement and Awareness, (2) Systems of Power and Influence, (3) Historical and Ongoing Injustices, and (4) Resiliency and Healing. These findings demonstrate the potential of the March as a culturally grounded, community-based intervention that can enhance well-being, and outline strategic actions that can be taken in response to the MMIWG crisis. Including Indigenous youth as active agents of change and generating knowledge regarding Indigenous resilience directly challenges the deficit-based narratives that dominate research across disciplines providing Indigenous youth with opportunities to transform their narratives to reflect their strengths and reclaim their sense of identity.
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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 | 0.007 | 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 | 0.015 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.002 | 0.006 |
| 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".