Black Feminist Geographies Of Harm Reduction: Race, Space & The Embodied Consequences Of Drug Use In Southern Ontario, Canada
Bibliographic record
Abstract
With the dramatic rise in overdose deaths, harm reduction strategies are urgently needed. Limited studies centre Black women and gender-diverse people (BWGDP) and their critical insights regarding harm reduction and drug-related care. This is especially important because in Canada drug criminalization repeatedly and disproportionately subject BWGDP to heightened violence. Using Southern Ontario as a research site, I examine the impact of the current policies and legislation that inform harm reduction services in relation to the unique and complex realities of BWDGP. This research is theoretically informed by the work of Black Feminist Geographies and involved the careful analysis relevant policies, semi-structured interview, and photo data to understand the living geographies of harm reduction and embodied resistance practices of BWGDP who use drugs. I argue for solutions to the state-funded harm reduction strategies that target the systems and sources of violence, in lieu of the bodies that stand in place.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.033 | 0.014 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.018 | 0.001 |
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".