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Record W3162114451 · doi:10.82308/35506

Race and beauty in Canada: print culture, retail, and the transnational flow of products, images and ideologies, 1700s to present

2015· article· en· W3162114451 on OpenAlexaboutno aff
Cheryl Thompson

Bibliographic record

VenueeScholarship@McGill (McGill) · 2015
Typearticle
Languageen
FieldArts and Humanities
TopicFashion and Cultural Textiles
Canadian institutionsnot available
Fundersnot available
KeywordsBeautyRace (biology)IdeologySociologyAestheticsGender studiesPolitical sciencePoliticsArtLaw

Abstract

fetched live from OpenAlex

This dissertation is about race, class, gender, and the emergence of modern consumer capitalism. Using an historical approach, the project makes a link between transatlantic slavery, women's hair and beauty practices, and consumer culture. It pays particular attention to how black beauty and mainstream (read: white) beauty culture intersect, overlap, conflict, and mimic one another. Throughout this dissertation, I contextualize the growth and development of Canada's beauty culture by examining histories of migration and immigration to central and Atlantic Canada, and explain the rise of barbershops and hair salons in Toronto, Montreal, Halifax and Western Canada. I also examine the relationship between the sale of beauty products at retail and the visual representation of beauty in product advertising. Chapter one is an examination of Canada's colonial history of slavery, the advertisement of slave and runaway notices, the material conditions of black women's (and men's) labour, and the corporeality of the black female body with respect to hair care, dress, and resistance in the eighteenth and nineteenth centuries. I pinpoint the cultural significance of headwrapping and dress among black slave women, in addition to the colonial regulation of dress and self-care practices across the transatlantic. In chapters two and three, I give detailed accounts of the commercialization and commodification of mainstream beauty in North America, and explain the impact of late-nineteenth and early twentieth-century feminist movements, such as suffragism, temperance, dress reform, and the ideology and practices of the New Womanhood on the beauty ideal. Chapter four outlines the rise of advertisements for barbershops, hair salons, and beauty products in black Canadian newspapers in the 1920s through the 1940s. Chapter five explains how political movements of the 1960s such as second wave feminism and Black is Beautiful shifted the visualization of beauty and the politics attached to women's hair. In chapter six I deconstruct the role black community newspapers and Canadian women's magazines played in the promotion of beauty in the 1970s through the 1990s, and explain the ways in which skin and hair care products geared toward black women entered department stores and drugstores. Lastly, I argue that when Canadian magazines and advertisers began to perceive multiculturalism as a fashion aesthetic in the late-1980s, it raised questions about the diversification of the beauty standard and the issue of white bias. I also explore the contemporary health concerns associated with chemical hair straightening, hair weaves, and skin lightening products. This project makes a contribution to the study of Canada as it relates to slavery, consumer culture, European settlement, print media, and retail history. It also contributes to a wider understanding of the sociocultural, triangular relationship between the United States, Canada and the Caribbean.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.106
Threshold uncertainty score0.767

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.006
Science and technology studies0.0190.010
Scholarly communication0.0100.002
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0100.000

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.

Opus teacher head0.035
GPT teacher head0.211
Teacher spread0.176 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2015
Admission routes1
Has abstractyes

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