‘Now we call it research’: participatory health research involving marginalized women who use drugs
Bibliographic record
Abstract
In this paper, we discuss and analyse the strategies employed and challenges encountered when conducting a recent feminist participatory action research study with highly marginalized women who were illicit drug users in an inner city area of Vancouver, Canada. Through an analysis of the political economy of participatory praxis within current neoliberal contexts, we focus on three main areas: (i) reconceptualizing the pragmatics of participation; (ii) the microeconomic implications of participatory research, including ethical issues in payment for research participation; and (iii) the value and limits of using research as a tool for activism and empowerment. We conclude with a brief discussion of what we see to be some of the most salient social justice implications arising from feminist and participatory approaches to health research within neoliberal political spaces.
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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 | 0.024 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.012 |
| Insufficient payload (model declined to judge) | 0.000 | 0.002 |
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; both teacher heads 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".