End the Drug War — with Eris Nyx
Bibliographic record
Abstract
Am Johal is joined by Eris Nyx, an artist and community organizer in Vancouver’s Downtown Eastside who advocates for tenants' rights and an end to the war on drugs. She and Am discuss the impact of COVID-19 on drug users and residents of Single Room Occupancy (SRO) hotels, and how restricting visitors in SROs and reducing access to services during the pandemic has heightened safety concerns around a volatile supply of drugs. Eris shares how the Downtown Eastside community has been organizing to respond to the several and intersecting systems of oppression they are facing.\nEris Nyx is a queer multidisciplinary artist and community organizer living on the unceded territories of the Coast Salish people. Currently working with the Coalition of Peers Dismantling the Drug War, the Downtown Eastside SRO-Collaborative, and the Black Lab Arts Society, Nyx advocates for police and prison abolition; new models of antipsychiatry to replace the current regime of psychiatric theory and practice; ending the war on drug, and fighting against the intersectional harms wrought by colonization, capitalism, and other system of oppression. Most recently she helped to produce and publish a record of Downtown Eastside musicians entitled 100 Block Rock – which showcases a compilation of Vancouver BC's most marginalized community of artists.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.008 | 0.003 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.064 | 0.015 |
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".