Bibliographic record
Abstract
Episode Summary What happens when an Indigenous woman trapped in an abusive and exploitative relationship goes to authorities for help? “Jessica” shares her harrowing and relentless struggle to escape, and all the ways the system failed to protect her and her children. Yet through it all, she survived. She’s an overcomer. Episode Notes Content Note: Graphic depictions of physical and sexual violence against an Indigenous woman and her children, violence-induced miscarriage; mental health challenges; suicide; homicidal ideation; child pornography; failure of police, medical, social services to provide support; racism and colonial violence against Indigenous people, including MMIWG2S. 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) "Finding Evidence" by Mark Fabian "Midnight" by Lexin Music APTN News, "Stats Can says two-thirds of Indigenous women experience violence or sexual assault" "Sad Violin" by Music for Videos "Dramatic Atmosphere with Piano and Violin" by Universfield "A Slow Morning" by Vesper Tapes CBC News - The National, "Inquiry into MMIWG issues final report, sweeping calls for change" "Top Secret Files" by Musicalman "Tense Sad Piano" by Ashot-Danielyan-Composer "Tense Detective Looped Drone" by Daddy's Music CBC News - The National, "Government’s inaction on MMIWG report criticized" "Machines Control" by Francesco D'Andrea CBC News, "How Canada is dealing with court delays" "Newborn Earth" by INPLUSMUSIC "A Call to the Soul" by Markotopa "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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.006 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.185 | 0.019 |
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".