Bibliographic record
Abstract
Episode Summary An unparalleled and raw account of life behind bars. “Nate” is left traumatized, homeless, and alone. We hear in vivid detail how prison violence and being confined makes mental health and substance use challenges worse. And how incarceration doesn’t actually reduce crime but increases reoffending. Episode Notes Content Note: graphic depictions of prison violence and discussion of incarceration, substance use, homelessness, poverty, racism, and mental health distress. Click here for mental health support resources. Order your copy of Indictment: The Criminal Justice System on Trial (Aevo UTP, 2023) Visit www.benjaminperrin.ca for the latest news and upcoming events We are grateful for support from the University of British Columbia and Law Foundation of British Columbia ----------- Credits: "The Notion" by Northern Points (Intro) "Midnight" by Lexin Music "Caves of Dawn" by GuilhermeBernardes CBC News, "Solitary confinement still overused in Canada’s prisons: report" "Ten Dollar Toy Guitar" (Top Hat Remix) by Ben Blohowiak Global National, "Lack of help for mentally ill inmates in Canada" "Tense Detective Looped Drone" by Dad's Music "Racing Forward" by Grayson DeSmet "Precarity" by Airtone "Top Secret Files" by Musicalman "The Holy Family Escapes into Egypt" by Gurdonark "Conspiracy" by Mark Fabian "The Clermont" by Flash Fluharty "Everyday Adventures" by Sound and Vision (Outtro)
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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.712 | 0.261 |
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".