Narrative descriptions of miyo-mahcihoyān (physical, emotional, mental, and spiritual well-being) from a contemporary néhiyawak (Plains Cree) perspective
Bibliographic record
Abstract
BACKGROUND: There are unequivocal health disparities, both physical and mental, between the Indigenous and non-Indigenous peoples of Canada. METHODS: Utilizing narrative inquiry, 15 néhiyawak (Plains Cree people) between 18 and 71 years of age from Thunderchild First Nation were interviewed to explore what improved their mental health and well-being and what they needed to attain optimal mental health and well-being. By posing questions that focused on the positive, the strengths and resilience of the néhiyawak came to the forefront. RESULTS: Narrative thematic analysis of interview data consistently revealed four overarching themes that highlighted what positively impacted néhiyawak mental health and well-being and their perceived needs to attain optimal mental health and well-being: relationships; spiritual beliefs and cultural practices; tānisīsi wāpahtaman pimātisiwin (worldview); and ēkwa ōhi kikwaya piko ka-ispayiki kīspin ka-nohtē-miyo-mahcihoyān (these are the things that need to happen if I want to be healthy). The néhiyawak in this study described holistic health determinants that correlate with the medicine wheel and the determinants of health, and described these holistic health determinants as making a positive difference to their mental health and as necessary for them to obtain optimal mental health and well-being. CONCLUSIONS: These results suggest that mental health programming and interventions should be harmonious with Indigenous culture; utilize a holistic approach that takes physical, emotional, mental, and spiritual well-being into consideration; and address the existing mental health disparities using the determinants of health as a framework, with an increased focus on the current socio-economic status of Indigenous peoples in Canada.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.006 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| 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".