Identity Construction of “Postcolonial” and Diasporic Sri Lankan Women
Bibliographic record
Abstract
This thesis examines how the identity construction of Sri Lankan women is affected by Whiteness and European colonization. It applies the principles of Critical Anti-Racism Theory to the analysis of eight in-depth interviews, four in the “postcolonial” context of Colombo, Sri Lanka and four in the diasporic context of Toronto, Canada. The results found that participants constructed their identities in three ways: self-perception, language and skin colour. Five factors and influences were found to inform this identity construction in relation to Whiteness and White hegemony: family, school, media/social media, and culture. This study explores the possibilities of using these framings in order to deconstruct Sri Lankan female identity through an anti-racist lens. It concludes with the examination of the implications of these factors on the identity construction of Sri Lankan women, the revaluing of Indigenous knowledges, their contestation and resistance of White hegemonic discourse, and anti-racist and anti-colonial educational practices.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.011 | 0.015 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.006 |
| 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".