S1:E8 - Hopelessness to Healing: Surviving Jail, Overdoses & Attempted Suicide - “Duncan”
Bibliographic record
Abstract
Episode Summary Narrowly surviving a suicide attempt, multiple overdoses and rampant prison violence, “Duncan” is blessed to be alive. He shares how prison and punishment exacerbated his challenges with substance use, mental health issues, childhood trauma, unemployment and homelessness. And how a friend stepped into his life at just the right moment. Episode Notes Content Note: childhood abuse, mental health, prison violence and graphic depictions of substance use and a suicide attempt. 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) "From Darkness to Light" by StudioKolomna "A Slow Morning" by Vesper Tapes "Tense Sad Piano" by Ashot-Danielyan-Composer SAMHSA, "Adverse Childhood Experiences: Risk Factors for Substance Abuse and Mental Health" "Newborn Earth" by INPLUSMUSIC "Wrong Turn" by ShadowsAndEchoes CBC News: The National, "Skyrocketing youth opioid deaths sound alarms in Ontario" HockeyFights.com, "Tysen Dowzak vs Brady Leavold Sep 16, 2008" "Acoustic Vibe" by RomanSenykMusic "Die or Surrender" by lemonmusicstudio CBC News, "Inmate kills cellmate and hides body without guards noticing" "Dark Depression" by Ashot-Danielyan-Composer "Racing Forward" by Grayson DeSmet "Hard Metal Rock" by Sonican "Spirit Landscape" by Lexin_Music "The Clermont" by Flash Fluharty "A Call to the Soul" by Markotopa "Everyday Adventures" by Sound and Vision (Outtro)
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.005 | 0.004 |
| Insufficient payload (model declined to judge) | 0.582 | 0.200 |
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".