Willful ignorance as resistance, harm reduction workers and ruling relations
Bibliographic record
Abstract
This paper will explore how front-line harm reduction workers govern the space of agency services. In order to study how this is done this writer completed an institutional ethnography to illuminate how power operates in the day-to-day practice of a harm reduction agency. Harm reduction services have been criticized as a site of neoliberal governance through risk-management. This study aims to explore how harm reduction workers perform and understand their role within their agency. This writer interviewed front-line staff members that distribute harm reduction material, asking them about their adherence to their organizational policies and procedures. The policies represented by the text of the signage within agencies was also analyzed. Study results showed that staff members used wilful ignorance to allow people to use drugs on agency premises, provided they did so in a discreet manner. Harm reduction workers also tried to reduce the suffering, and promote the larger political goals of harm reduction, to help people who use drugs.
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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 | 0.015 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.016 | 0.120 |
| Scholarly communication | 0.017 | 0.010 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.005 | 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".