Intensifying the Incarceration of the Vulnerable Legal Subject: Correctional Treatment of Ashley Smith as a Source of Legal Norms
Bibliographic record
Abstract
Abstract Ashley Smith lived and died at a confluence of legal sanctions and correctional policy, norms, decisions, and indifference. This article approaches her incarceration primarily through a particular articulation of legal pluralism. Martha-Marie Kleinhans and Roderick A. Macdonald argue legal subjects should be understood as creating law in relationship with laws/norms. The Correctional Service of Canada (CSC) treated Smith as an excluded legal subject through practices of isolation, but the correctional norms evolving in relationship with her resultant distress simultaneously indicate CSC treated Smith as if she were effectively a law-producer, capable of changing policy. However, treating her as a source of norm-creation assumes equality/power Smith did not have. The story leading to Smith’s death in custody illustrates two primary themes regarding the production of law/norms. First, the legal subject within a critical legal pluralism should be widened to encompass those who act within/against (and are acted upon by) legal/normative systems characterized by extreme power disparities. Drawing on Martha Fineman’s vulnerability analysis, I argue such legal subjects should be understood/treated as vulnerable, implicating an enlarged role for institutions. Second, I follow the broad dictates of a critical legal pluralism to demonstrate how the reciprocally constitutive (though unequal) relationship between the legal subject and legal/normative orders manifested in Smith’s incarceration and attendant changes to correctional norms.
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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 | 0.004 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.039 | 0.037 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.003 | 0.008 |
| Research integrity | 0.005 | 0.012 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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".