Learning from each other, together: exploring Red River Métis youth experiences in cultural activities through relationality
Bibliographic record
Abstract
For far too long, the Red River Métis have either been excluded from health literature or represented only in Pan-Indigenous research, contributing to considerable underrepresentation and misrepresentation. This project seeks to contribute to distinctions-based Red River Métis health research literature by examining the benefits and impact of Red River Métis youth engaging in Métis cultural activities on health and well-being during Manitoba Métis Federation (MMF) Culture Camps. This work embodies relationality by upholding the 6 R’s of Indigenous Research (Relationship, Relevance, Respect, Representation, Reciprocity, and Responsibility) through a decolonizing Red River Métis methodology inspired by the work of Dr. Judith Bartlett. A narrative literature review was conducted to summarize the existing research and silences on the impacts of engaging Indigenous youth in cultural activities in Canada. Various culturally oriented arts-based methods (mural painting and sharing circles) and other Western-developed data-gathering tools (surveys, camp evaluations, field notes) were analyzed using an adapted Reflexive Thematic Analysis guided by our Red River Métis Methodology. In a Kitchen Table Talk, we bring together the interrelated thematic results from Work that has Come Before (literature review) and What We Learned (analysis results) from the MMF Culture Camps. Relationality is identified as a connecting factor between youth, the land, peers, family, and Elders, as positively beneficial to one’s well-being by participating in cultural activities that contribute to personal development and cultural continuity. Relationality is a value, a lived and practiced concept that youth experience when participating in cultural activities that influence well-being. This project connects relationality as a dominant theme and embodied value in this study to uphold Respect, Reciprocity, Responsibility, Representation, Relevance, and Relationship. This project is intended to contribute to the community and the Red River Métis Nation by bringing a distinct Métis project into the health research and academic space. By documenting and sharing findings with the Manitoba Métis Federation (MMF), there is hope that this research can support program development by the MMF for Red River Métis youth inspired by the experiences of study participants.
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 | 0.006 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.012 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.001 | 0.003 |
| 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".