Walking the Talk: How Participatory Interview Methods Can Democratize Research
Bibliographic record
Abstract
In this article, the author explores the importance of participatory, respectful, and community-specific approaches to research relationships across differences in social location and experience. Drawing on transcripts from group interviews with 6 young Aboriginal mothers from Vancouver's Downtown Eastside who had experienced substance use during pregnancy and fetal alcohol syndrome/fetal alcohol effects, she discusses three practical strategies used in her doctoral research to address the empirical and methodological implications of this work: the provision of honoraria, collaborating with community leaders in participant recruitment, and the use of shared analysis in group interviews. Shared analysis in the group interviews was integral to supporting policy analysis that challenges the privatization of mothering and substance use. Group interviews can benefit both the participants and the research, support womens' agency, and democratize the research process while mitigating the potential for the misrepresentation and appropriation of women's experiences.
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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 | 0.382 | 0.243 |
| Meta-epidemiology (narrow) | 0.002 | 0.003 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.008 | 0.005 |
| Science and technology studies | 0.023 | 0.054 |
| Scholarly communication | 0.022 | 0.021 |
| Open science | 0.007 | 0.034 |
| Research integrity | 0.006 | 0.012 |
| Insufficient payload (model declined to judge) | 0.010 | 0.003 |
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".