Stories of 0s: Transgender Women, Monstrous Bodies, and the Canadian Prison System
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Prisons regulate identities and what rights get recognized and protected in a prison setting. Gender is a core element of identity that is policed by the prison system and by the law that governs prisons. Focusing on developments within Canadian transgender jurisprudence, this paper explores how prisoners’ bodies that do not conform to a strict gender binary are defined as inhuman. By critically assessing the prison system and prison policy, this essay demonstrates how Canadian law has often failed to address the needs and lived experiences of transgender women in their interactions with the penal system. As case law demonstrates, the rights of cisgender women—that is, women whose gender and anatomy have aligned since birth—tend to trump the rights of transgender women. Implicit in this tendency is a judgment as to whom the law will recognize as ‘real.’ This paper challenges the logic of protecting women deemed authentic when such protection comes at the expense of transgender women. To that end, the pivotal cases of Kavanagh v Canada (Attorney General) and Forrester v Peel (Regional Municipality) Police Services Board are examined. These cases show how the law’s reliance on genitals as the primary signifier of gender contributes to the dehumanization of the transgender subject in a prison setting. In order to query this logic of genitocentrism, this paper also examines developments in transgender jurisprudence outside the prison context. It concludes with an analysis of XY v Ontario (Minister of Government and Consumer Services) in order to track the movement of Canadian law away from a transphobia that allows body parts to speak for individuals.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it