Mapping the paradoxes of multiethnicity : stories of multiethnic women in Toronto, Canada
Bibliographic record
Abstract
This thesis examines questions of identity among multiethnic( or "mixed race") women through \na qualitative analysis of twenty-four open-ended interviews conducted in Toronto, Canada. It \nis primarily concerned with exploring how multiethnic women contest challenge and negotiate \ntheir identities in relation to socially constructed racialized categories. \nThe thesis demonstrates how the multiethnic woman has been positioned as "out of place" in a \nhistorical and social context. Through the empirical analysis, it examines how women of \nmultiethnicity in this study mobilize both their gendered and racialized selves in powerful ways. \nThe cartographies of belonging among multiethnic women in this study are documented, with \nan emphasis upon the ways they forge alliances with others. The thesis proposes alternative \nreadings of the multiethnic experience outside of oppressive representations. \nEngaging with vocabularies in cultural and feminist geography, the thesis explores the potential \nof conceiving of the multiethnic individual in a way that spills over the analytical categories of \nrace and gender. In conclusion, it suggests future avenues in feminist geography by calling for \na profound rethinking of those categories of identity which currently frame our analyses.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".