(In)-justice: An exploration of the dehumanization, victimization, criminalization, and over-incarceration of Indigenous women in Canada
Bibliographic record
Abstract
Indigenous women are vastly overrepresented in Canada’s federal prisons and represent the fastest growing prison population in Canada. This critical commentary utilizes a decolonial framework to examine how being Indigenous and female increases one’s risk of being victimized, murdered, and subject to colonial control by exploring the connections between the construction of Indigenous women as less than human and the use of carceral space to control, destroy, and assimilate this population. Specifically, the authors apply Woolford and Gacek’s notion of genocidal carcerality to the intersectional forces of systemic racism and discrimination that result in their overincarceration. Further, the article critiques the Indigenization of Canada’s federal correctional service for failing to meet the needs of this population and for perpetuating an assimilative and stereotypical portrayal of Indigenous women that perpetuates colonial harm.
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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.062 | 0.023 |
| Scholarly communication | 0.010 | 0.002 |
| Open science | 0.004 | 0.004 |
| Research integrity | 0.004 | 0.008 |
| Insufficient payload (model declined to judge) | 0.003 | 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".