“It Makes Me Feel Good to Teach People About My Culture:” On Collaborative Research Methods with Indigenous Young People
Bibliographic record
Abstract
In this article we, as settler scholars, explore process as method within a community-driven, supradisciplinary project in southern Alberta called Raising Spirit. The project was a collaboration between the University of Lethbridge’s Institute for Child and Youth Studies and Opokaa’sin Early Intervention Society, a nonprofit that serves Indigenous children and families in southern Alberta. The project team formed in response to Opokaa’sin’s need for a digital library of Blackfoot culture, language, and history. Here, we reflect on the methods used during this project, specifically paraethnography (Marcus & Holmes, 2008) and design studio (Rabinow, Marcus, Faubion, & Rees, 2008). Throughout, we argue that this approach produced a collective sphere (Rappaport, 2008) wherein young people and community partners, Indigenous and non-Indigenous, became collaborators throughout the process. In this space of vulnerability and potential, everyone could contribute, share, and learn.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".