We Do Not Forget: Stolen Lives of LA’s Unhoused During the COVID-19 Pandemic
Bibliographic record
Abstract
This report, undertaken by the After Echo Park Lake research collective, was homework assigned by unhoused comrades, especially those who are part of UTACH, Unhoused Tenants Against Carceral Housing. While the stark reality of unhoused deaths has long been a matter of concern, the COVID-19 pandemic brought surprising new challenges. As the report shows, in addition to deaths on the street, there were also deaths in hotels and motels, including in the emergency housing program, Project Roomkey. A large proportion of hotel/motel deaths are attributed by the coroner to drug and alcohol overdoses, a finding in keeping with general trends in unhoused deaths. As the report argues, it is crucially important to understand such deaths as evidence of the dislocation and trauma caused by housing insecurity and displacement as well as by carceral isolation in shelter and emergency housing programs. Drawing on the organizing by UTACH, Unhoused Tenants Against Carceral Housing, the report amplifies the demand for unconditional and humane permanent housing.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.003 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.015 | 0.006 |
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".