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Record W2338528413 · doi:10.1111/hic3.12309

Buying Beauty: Female Beauty Consumption in the Modern British World

2016· article· en· W2338528413 on OpenAlexaff
Jessica P. Clark

Bibliographic record

VenueHistory Compass · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Studies on Reproduction, Gender, Health, and Societal Changes
Canadian institutionsBrock University
Fundersnot available
KeywordsBeautyConsumption (sociology)Context (archaeology)MasculinityAestheticsArtEmpireHistoryGender studiesSociologyAncient historyArchaeology

Abstract

fetched live from OpenAlex

Abstract In recent years, historians of American, French, and global beauty consumption have charted the rich relationship linking beautifying goods to self‐fashioning and the body, historical subjectivities, and the construction of gender and racial identities. Yet, despite productive attention to male beauty in Britain and its relationship to masculinity and the history of sexuality, little attention has been devoted to women's beauty consumption in modern British history. This article surveys literature on U.S., French, and global female beauty consumption to argue for further study of beauty commodities and their production by historians of modern Britain and its empire. The history of British women's beauty consumption intersects with important historical developments that make it worthy of exploration, most notably the use of beautifying and grooming goods as tools for self‐fashioning in the British imperial context. Ultimately, a focus on female beauty consumers and producers positions women as key figures in the formation of or resistance to the British imperial project.

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)0.000
metaresearch head score (Gemma)0.001
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: Empirical
Teacher disagreement score0.232
Threshold uncertainty score0.461

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0030.003
Scholarly communication0.0030.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0090.000

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 head0.152
GPT teacher head0.263
Teacher spread0.111 · 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

Citations1
Published2016
Admission routes1
Has abstractyes

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