From Marginalized Subject to Sovereign Self: Autobiography as a Means of Talking Back in James Tyman's Inside Out
Bibliographic record
Abstract
A recent report by the Government of Canada’s Office of the Correctional Investigator states officially what many have known for a long time to be true: the prison population of Canada is grossly over-represented by indigenous people: “Today, 21% of the federal inmate population claims Aboriginal ancestry” the report states, despite the fact that indigenous peoples comprise only 4.3% of the larger population, according to the 2011 National Household Survey (see Spirit Matters: Aboriginal People and the Corrections and Conditional Release Act, 22 Oct. 2012). This terrifying disparity in numbers only reveals part of a much larger problem in Canada’s relation to indigenous peoples, however: the targeting of and systemic discrimination against indigenous people by the so-called justice system in this country is part of a multifaceted set of interlocking racist and colonialist structures. There are, of course, individuals and communities behind these statistical and institutional analyses, and any attempt to attack the biases inherent in those structures must begin with their voices and stories. Jesse Abell’s thoughtful engagement with James Tyman’s Inside Out provides a wonderful example of a careful listening to one such story, as she responds to Tyman’s own careful articulation of the wide-ranging emotional, social, and political effects of those racist and colonial structures and their expression in the prison system. Dr. Jason Haslam
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".