Gender-Based Administrative Violence as Colonial Strategy
Bibliographic record
Abstract
There is a growing trend across North America of women being criminalized for their pregnancy outcomes. Rather than being a series of aberrations resulting from institutional failures, we argue that this trend is part of a colonial strategy of administrative violence aimed at women of color and Native women across Turtle Island. We consider a range of medical and legal practices constituting gender-based administrative violence, and we argue that they are the result of non-accidental and systematic production of population-level harms that cannot be disentangled from the goals of ongoing settler occupation and dispossession of Indigenous lands. While white feminist narratives of gender-based administrative violence in Latin America function to distance the places where such violence occurs from the ‘liberal democratic’ settler nation-states of the U.S. and Canada, we hold that administrative forms of reproductive violence against Latin American women are structurally connected to efforts in the U.S. and Canada to criminalize women of color and Indigenous women for their reproductive outcomes. The purpose of these systemically produced harms is to sustain cultures of gender-based violence in support of settler colonial configurations of power.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.033 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".