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Record W2050422637 · doi:10.1177/0896920513501355

A Corporation in Feminist Clothing? Young Women Discuss the Dove ‘Real Beauty’ Campaign

2014· article· en· W2050422637 on OpenAlexaff
Judith Taylor, Josée Johnston, Krista Whitehead

Bibliographic record

VenueCritical Sociology · 2014
Typearticle
Languageen
FieldArts and Humanities
TopicFashion and Cultural Textiles
Canadian institutionsMount Royal UniversityUniversity of Toronto
Fundersnot available
KeywordsFeminismSociologyCorporationBeautyCapitalismConsumption (sociology)SensibilityPoliticsGender studiesPolitical scienceLawSocial science

Abstract

fetched live from OpenAlex

The Dove campaign for ‘real beauty’ has been exceptionally successful, generating public attention and increased sales. This article uses focus group analysis to investigate how young, feminist-identified women understand the campaign, and how they respond when a corporation encourages them to exercise their politics through consumption. We ask whether the campaign is seen as compatible with their vision of feminism, and whether corporations are potential vehicles for feminist change. To conceptualize critical consciousness, we suggest that classical critical theory, particularly Herbert Marcuse, can be fruitfully connected with contemporary critical and feminist theories of capitalist cooptation. Participants varied in their critiques, but relished the opportunity for deliberation, and displayed a clear capacity to disentangle ‘opposites’ like feminism and corporate profiteering. Most women saw the campaign as ‘better than nothing’ and supported some notion of ethical consumption – a kind of pragmatism that suggests the difficulty of imagining alternatives to consumer capitalism.

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)0.003
metaresearch head score (Gemma)0.004
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 score0.012
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0120.007
Scholarly communication0.0060.004
Open science0.0000.003
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0060.001

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 head0.027
GPT teacher head0.268
Teacher spread0.242 · 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

Citations49
Published2014
Admission routes1
Has abstractyes

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