“We’ve Been Researched to Death”: Exploring the Research Experiences of Urban Indigenous Peoples in Vancouver, Canada
Bibliographic record
Abstract
The belief among many Indigenous Peoples of being over-researched, often through questionable research practices, has generated mistrust towards researchers. Despite growing critiques of conventional research practices, understanding of Indigenous Peoples’ contemporary research experiences remains limited. The research this article describes was undertaken by a community organization led by Indigenous Peoples who use illicit substances. Community researchers facilitated talking circles to explore the research experiences of peers living in a highly-researched inner-city neighbourhood in Vancouver, Canada. While participants reported distrust towards researchers, this wariness did not preclude participation in research given a context of extreme poverty. Participants noted lack of transparency in research and perceived research as having little benefit to their community. We argue for increased support for Indigenous-led approaches to research that emphasize community concerns and meaningful community participation.
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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 | 0.005 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.056 | 0.020 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.003 | 0.009 |
| Research integrity | 0.002 | 0.004 |
| 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".