heART space: Curating community grief from overdose
Bibliographic record
Abstract
This article details the transformation of an empty store into a gallery honouring youth and others who have passed away from overdoses, and the creation of extensive harm reduction and grief support programming that accompanied the display of artwork. The outpouring of community interest, participation, and emotion that surfaced around heART space clearly shows how art, exhibitions and creative programming can help foster communities of care during times of crisis. Drawing from research into practices of care from harm reduction work, grief studies and participatory arts and curatorial studies, the authors explore how heART space comforted youth and others with direct experiences with overdose and disenfranchised grief while creating dialogues with visitors about the stigma of drug use and homelessness. The authors argue curating heART space produced an opportunity for community healing while nuancing and humanizing the way we see people who use drugs. As such, this youth-driven community project created a safe space to share stories, collaborate, honour trauma and transform grief into action.
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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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.015 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.002 | 0.024 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.009 | 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".