Altered Beauty: African-Caribbean Women Decolonizing Racialized Aesthetics in Toronto, Canada
Bibliographic record
Abstract
This study reviews narratives of black Canadian women who problematize the racism that they face in relation to beauty. Critical Race Theory is used to analyze the effects of hair and skin discrimination and the consequences of ideological racism surrounding perceptions of beauty. The participants review material aids, discuss their past experiences with racism, and reveal anti-racist strategies in order to decolonize normalized grooming practices. Her skin is dark. Her hair chemically straightened. Not only is she fundamentally convinced that straightened hair is more beautiful than curly, kinky, natural hair, she believes that lighter skin makes one more worthy, more valuable in the eyes of others. Despite her parents’ effort to raise their children in an affirming black context, she has internalized white supremacist values and aesthetics, a way of looking and seeing the world that negates her value. Of course this is not a new story. —bell hooks, Black Looks: Race and Representation
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.025 | 0.013 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".