Diasporic Experiences of Everyday Multiculturalism: Navigating Race and Space Through African Women's Beauty Practices
Bibliographic record
Abstract
This thesis examines how everyday multiculturalism and the African diaspora mutually interact to shape racialization processes in multiple spaces, both public and private, through an exploration of African women's beauty practices.Five main social spaces relevant to African women's diasporic experiences of everyday multiculturalism are analysed throughout the thesis including the self, the home, the church, social media, and the workplace.Blending analytic categories of everyday multiculturalism with the African diaspora while incorporating concepts from critical race theory, the public-private dichotomy, the women-as-nation premise, and feminist insights on agency, this thesis makes three central arguments based on the empirical findings.Firstly, I argue the dynamic interplay between everyday multiculturalism and the African diaspora simultaneously reconstitutes social spaces by creating rich combinations of complex experiences that challenge and redefine the "public" and "private" in various spaces through new meanings of race, beauty, class, pan-African continentalism, long-distance nationalism, multiculturalism, sexuality, and gender.Secondly, I argue everyday multiculturalism and the African diaspora simultaneously structure racialization processes so that African women's racialized identities are layered, formed, and informed by a new African diaspora community within Canada, local nationalist and postcolonial racial formations, Canadian discourses of multiculturalism, and globalized meanings of Blackness.Furthermore, racialization processes are constantly shifting across social spaces so that women creatively juggle different racialized identities by creating hybrid iterations, of being African and Black, that are heterogenous, complex, and multilayered.Lastly, I argue everyday multiculturalism and the African diaspora interact in paradoxical fashion to produce a conception of agency reflective of simultaneous articulations including accommodation and resistance.The ways women use their beauty practices to navigate race and space thus reveal the context dependent manifestations of different expressions of agency in the public and private.This complex dynamic makes it difficult to neatly generalize African women as either completely agentive or completely oppressed in any given space.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.017 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".