The Gendered Construction of Border-Crossing in Canada: Immigrant and Indigenous Women’s Life Histories in the Tracks of Gloria Anzaldua
Bibliographic record
Abstract
Our paper offers a new direction for Canadian scholarship on women and border studies by contextualizing women border- crossers within Anzaldúa’s conocimiento model. Based on the narratives of six women border-crossers in Canada, we argue that citizenship is a form of regulatory state-power where “belonging” is bureaucratically defined. For these women, belonging to a homeland is embodied in the interplay between Anzaldúa’s facultad and shadowbeast—between the agency of spirituality and the vagaries of political subjectivity. They crossed the border into Canada, and as a result, the whole of Canada became a borderzone within which they negotiated nepantla (the experience of being “in-between” culture and identity categories). We demonstrate how applying Anzaldúa’s framework to the Canadian context yields new insights into secularism, citizenships, multiculturalism, and belonging.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.033 | 0.014 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".