“I Can Stand Tall and be a Métis Person and Just be Proud of it”: Pathways to a Flourishing Métis Identity
Bibliographic record
Abstract
The Métis are one of three recognized Indigenous groups in Canada and are defined by their mixed First Nations and European ancestry. In this grounded theory study, sixteen (n=16) Métis participants in Bawating[1], Ontario, Canada were interviewed to share their experiences as Métis people. Participants described common themes of being disconnected from their Métis identity in childhood, which contributed to a sense of loss and confusion. Following their experiences of having languishing identities, participants shared their complex and life-long journeys towards a flourishing identity. This journey involved learning and sharing cultural knowledge with others, connecting to the land, and engaging in traditional practices. The ultimate integration of these findings was an overwhelming and hard-earned sense of pride in being Métis. [1] Bawating, meaning rapids in Ojibway, is the original Indigenous name of Sault Ste. Marie, a city of 72,000 people located in Northern Ontario, Canada
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.032 | 0.029 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.001 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 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".