Displacement City: Fighting for Health and Homes in a Pandemic
Bibliographic record
Abstract
Book Review of "Displacement City: Fighting for Health and Homes in a Pandemic." Coedited by outreach worker Greg Cook and street nurse Cathy Crowe, Displacement City is an anthology of more than twenty authors contributing prose, poetry, and photography. It explores the lived experiences of homelessness and the efforts of frontline services in Toronto during the COVID-19 pandemic. Divided into three parts, the book champions collective action from tenacious yet exasperated community organizers against an alarming backdrop of inadequate responses by city authorities to provide for those without a home. Predominantly written in an emotionally descriptive style of firsthand accounts, with testimonies of anger, activism, and advocacy, Displacement City is personal and persuasive in tone. It begins with a litany of deaths in the unhoused community in Toronto, as a memoriam for prosperity but also a sharp reminder of how the pandemic was suffered inequitably. This sets the scene for a city simultaneously failing to address the triple disaster of a worsening opioid crisis, an escalating homelessness emergency, and a spreading virus. (cont.)
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.030 | 0.008 |
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".