From trauma to resilience: advancing cultural responsiveness and equity in the Muskowekwan First Nation’s healing journey
Bibliographic record
Abstract
Introduction: The Muskowekwan First Nation (MFN) in Saskatchewan, Canada, epitomizes the enduring strength and cultural preservation of the Saulteaux people. This community faces the lasting effects of colonial trauma, especially the violence, abuse, and adversity experienced by students at the Muskowequan Indian Residential School (MIRS). Decades of abuse by institutional leaders caused generational trauma, contributing to current mental health and well-being challenges. This study highlights the community's role in sharing experiences and shaping healing processes to develop the MFN Family Healing and Wellness Centre in response to urgent community concerns. It examines the integration of Justice, Diversity, Equity, and Inclusion (J-DEI) principles and cultural responsiveness in fostering community resilience and mental well-being. Methods: Adopting a community-based participatory research framework, this study employs a mixed-methods approach, including community engagement sessions and surveys. Collaborating closely with the MFN leadership, it draws upon the specialized expertise of Author2 and Author1, leaders in Indigenous health and research. The research uses qualitative and quantitative data collection, emphasizing the importance of community input and leadership in shaping the research process and outcomes. Results: Findings emphasize the community's commitment to spiritual and cultural practices as vital healing components. Amidst the heightened awareness of the lingering effects of the MIRS within the MFN community, these insights informed the development of the Centre, ensuring it incorporates the community's desires for culturally relevant healing practices. The grand opening of Phase I of the Centre in February 2023 emerged as a significant step forward, symbolizing a move towards holistic community health that honors resilience, holistic wellness, and cultural continuity. Discussion: This case study contributes to the literature on integrated, culturally responsive healthcare models that address the needs of Indigenous peoples and communities. The study provides insights to guide the Centre's future programs and services, ensuring they are culturally tailored and responsive to the community's needs. By illustrating the potential for traditional wisdom and contemporary health practices to foster well-being, the case study advocates for holistic approaches to healing in Indigenous settings, offering a replicable framework for similar initiatives globally.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.026 | 0.026 |
| Scholarly communication | 0.015 | 0.008 |
| Open science | 0.002 | 0.023 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.006 | 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".