Bibliographic record
Abstract
Through poetry, letters, essays, and interviews, The Life Sentences of Rik McWhinney relates the harrowing experiences of a man who spent nearly thirty-five years in the Canadian prison system. Rik McWhinney spent thirty-four years and four months in Canada’s federal penitentiaries—sixteen of those in solitary confinement. His incarceration began in the 1970s, as a system-wide war was raging over the implementation of penal reforms. Though he was physically confrontational during the early years of his imprisonment, resulting in his segregation and medical torture, McWhinney eventually turned to writing to combat the conditions of his confinement. The Life Sentences of Rik McWhinney collects his poetry, essays, grievance forms, letters, and interviews to provide readers with insight into the everyday life of incarcerated individuals, amplifying the lives and voices of a demographic that society would rather ignore. McWhinney relays the horrors of solitary confinement and provides a vivid account of the violence and psychological turmoil that he endured while incarcerated. Ultimately, McWhinney’s words are an indictment of the prison system, a system that institutionalizes individuals, subjecting them to an environment that manufactures post-traumatic stress rather than fulfilling its mission of rehabilitation and reform.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.010 | 0.004 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.018 | 0.004 |
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".