Funding and ethics in Métis community based research: the complications of a contemporary context
Bibliographic record
Abstract
Recent ethical guidelines developed by the Canadian Institutes of Health Research along with the Tri-Council Policy Statement: Ethical Conduct for Research Involving Humans stress the importance of Aboriginal com munity engagement in research. Although these are positive changes meant to ensure respectful and responsive research relationships between communities and researchers, the understanding of ‘community’ employed by the new guidelines is problematic. In this sense, the guidelines rely on hegemonic understandings of what it is to be an Aboriginal person in Canada, as well as white spatial imaginaries of Aboriginal geographies. In this way, the guidelines codify Aboriginality and its spatiality as that of well-structured, landed, bounded and distinct rural communities. However, the contemporary Métis communities with whom the authors have worked rarely fit into hegemonic imaginaries of Aboriginality and its geographies in Canada. Rather, Métis communities are of ten institutionally weak, geographically dispersed and sociologically complex. Thus, we argue that the guidelines instantiate a territorialisation of society and space that risks re-marginalising Métis communities.
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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 | 0.257 | 0.223 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.035 | 0.131 |
| Scholarly communication | 0.033 | 0.014 |
| Open science | 0.005 | 0.015 |
| Research integrity | 0.020 | 0.025 |
| 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".