Reimagining Girlhood in White Settler-Carceral States
Bibliographic record
Abstract
We are deeply honored to have been given the opportunity to edit this special issue of Girlhood Studies, given that it is dedicated to rethinking girlhood in the context of the adaptive, always-evolving conditions of white settler regimes. The contributions to this issue address the need to theorize girlhood—and critiques of girlhood—across the shifting forces of subjecthood, community, land, nation, and borders in the Western settler states of North America. As white settler states, Canada and the United States are predicated on the ongoing spatial colonial occupation of Indigenous homelands. In settler states, as Eve Tuck and K. Wayne Yang remind us, “the settler never left” (2012: 20) and colonial domination is reasserted every day of active occupation. White settler colonialism functions through the continued control of land, resources, and racialized bodies, and is amalgamated through a historical commitment to slavery, genocide, and the extermination of Indigenous nationhood and worldviews. Under settler colonial regimes, criminal justice, education, immigration, and child welfare systems represent overlapping sites of transcarceral power that amplify intersecting racialized, gendered, sexualized, and what Tanja Aho and colleagues call “carceral ableist” violence (2017: 291). This transcarceral power is enacted through institutional and bureaucratic warfare such as, for example, the Indian Act, the school-to-prison pipeline, and the child welfare system to deny, strategically, Indigenous claims to land and the citizenship of racial others.
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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 | 0.007 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.027 | 0.029 |
| Scholarly communication | 0.012 | 0.009 |
| Open science | 0.002 | 0.013 |
| Research integrity | 0.004 | 0.009 |
| Insufficient payload (model declined to judge) | 0.006 | 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".