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Record W2974611661 · doi:10.4324/9781351234146

Wellness in Whiteness: Biomedicalization and the Promotion of Whiteness and Youth among Women

2019· book· en· W2974611661 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueBiblioBoard Library Catalog (Open Research Library) · 2019
Typebook
Languageen
FieldSocial Sciences
TopicGender Diversity and Inequality
Canadian institutionsCarleton University
Fundersnot available
KeywordsPromotion (chess)Gender studiesPsychologySociologyPolitical science

Abstract

fetched live from OpenAlex

This book analyses the social and ethical implications of the globalization of emerging skin-whitening and anti-ageing biotechnology. Using an intersectional theoretical framework and a content analysis methodology drawn from cultural studies, the sociology of knowledge, the history of colonial medicine and critical race theory, it examines technical reports, as well as print and online advertisements from pharmaceutical and cosmetics companies for skin-whitening products. With close attention to the promises of ‘ageless beauty’, ‘brightened’, youthful skin and solutions to ‘pigmentation problems’ for non-white women, the author reveals the dynamics of racialization and biomedicalization at work. A study of a significant sector of the globalized health and wellness industries – which requires the active participation of consumers in the biomedicalization of their own bodies – Wellness in Whiteness will appeal to social scientists with interests in gender, race and ethnicity, biotechnology and embodiment.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.272
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0040.006
Science and technology studies0.0010.004
Scholarly communication0.0020.010
Open science0.0020.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.124
GPT teacher head0.325
Teacher spread0.201 · 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