Occupational transaction in support of miyupimaatisiiun (wellness): Eeyou/Eenou community voices
Bibliographic record
Abstract
This paper presents the results of a community-based study on participation in miyupimaatisiiun (wellness) planning, conducted in partnership with the Eeyou Istchee Cree Nation (Northern Québec, Canada). Nested within a broader developmental and participatory evaluation undertaken by the regional Cree Board of Health and Social Services of James Bay, the study aimed to generate an in-depth understanding of community perspectives on their participation and engagement in local miyupimaatisiiun (wellness) committees (MCs). Over 4 years (2016-2020), 13 visits to four communities, 22 individual conversation-based interviews, and 50 hours of community-based activity observations took place. Data were analysed using an occupational transaction lens to co-construct the meanings and processes of participation in planning for miyupimaatisiiun, and how participants perceive and coordinate their actions with local, regional, and global contexts. This manuscript, the first of two, presents results for three themes addressing the meaning, processes, and challenges to participation: 1) healing from residential school trauma and its intergenerational impacts; 2) revitalizing Cree culture for miyupimaatisiiun, and 3) decolonizing health and wellness systems and policies. Through the concept of ‘occupational consciousness,’ this research suggests that MC members were drawing on their awareness of colonial influences on their own journeys towards healing and cultural recovery as they planned and designed occupations that support community wellness. Implications include the need for cross-community sharing on ways forward for strengthening community cohesion, as well as for improved regional entity acknowledgement of community capacity.
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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 | 0.002 | 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 | 0.018 | 0.008 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.001 | 0.002 |
| 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".