Transcarceral lawscapes enacted in moments of Aboriginalisation: a case-study of an Indigenous woman released on urban parole
Bibliographic record
Abstract
Abstract The field of carceral geography was lately developed by critical human geographers grappling with the spatiotemporal modes of social control and coercion particular to institutions of incarceration (Moranet al., 2018; Moran and Schliehe, 2017). This has included – in keeping with Michel Foucault's (1991) genealogy of the carceral as an art of disciplinary power – studying the disparate ways in which carceral techniques proliferate from and beyond the built site of the prison, becoming incorporated into other spatial formations. Carceral geographers have characterised this extension as transcarceral (Moran, 2014) or heterotopic (Gillet al., 2018; Moran and Keinänen, 2012). However, despite frequent references to law and legal institutions, carceral geographers generally do not theorise about law. Through a case-study involving an Indigenous woman paroled in Toronto, the author theorises about how carceral spaces are expressed through legal forms and techniques, affecting how paroled individuals, particularly thoseAboriginalised, are emplaced within urban space.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.023 | 0.012 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".