Co-managed research: non-Indigenous thoughts on an Indigenous toponymy project in northern British Columbia
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This paper reflects on the methodological challenges of co-managed research as experienced from a non-Indigenous perspective. In 2003, Tl'azt'en Nation and the authors initiated a toponymy study that involved finding a curricular use for Dakelh place names. In this article, we chronicle our experiences with negotiating and managing this study with Tl'azt'en Nation. Some events are specific to the topic; others are characteristic of co-managed research in general. We offer insights into what it means as non-Indigenous researchers to enter discursive territory that is charged with emotion and cultural sensitivity, and also explore the often contentious issues that can arise in Indigenous research, particularly oral history, ethnohistorical interpretation, and cultural representation. The paper concludes by discussing the opportunities and challenges of co-managed research.
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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 | 0.006 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it