Transgenerational Affect and Cultural (Self)Acceptance in Two Trans-Canadian Short Stories
Bibliographic record
Abstract
This article offers a comparative reading of two transCanadian short stories: Nalo Hopkinson’s “A Habit of Waste” (2001) and Shauna Singh Baldwin’s “We are not in Pakistan” (2007). Both stories focus on young women who are descendants of migrant parents in North America—Cynthia from the Caribbean in the first, and Kathleen from Pakistan in the second—and aspire to fit into dominant models of postfeminist femininity. Both narratives trace the protagonists’ similar change of attitude, from their utter rejection of their gendered racialized bodies, to them finally embracing their cultural hybridity. This process is triggered by the affective relationship—which equally changes from disgust to respect—that each girl develops with an elderly figure that, to them, clearly embodies the minority culture they have repudiated. My analysis foregrounds the shared intersectional politics of these two works with regard to race, gender and class, and their common critique of mainstream postfeminism and hegemonic neoliberalism.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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".