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Record W1525069918

From Rags to Riches, the Policing of Fashion and Identity: Governmentality and “What Not To Wear”

2010· article· en· W1525069918 on OpenAlexaff
Sheri Gibbings, Jessica Taylor

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicGender, Feminism, and Media
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsGovernmentalityCasualIdentity (music)GazeSociologyAestheticsBlue collarSelfGender studiesMedia studiesSocial psychologyPsychologyPolitical scienceArtLawPsychoanalysisPolitics
DOInot available

Abstract

fetched live from OpenAlex

Even the most casual perusal of television over the past ten years should reveal an increasing number of self-improvement reality shows. This paper explores the Learning Channel (TLC) television show What Not to Wear (WNTW), which provides fashion advice to deviant dressers. We use Foucault's concept of governmentality to understand how WNTW engages women in their own projects of self-improvement in ways that are simultaneously disciplining and pleasing. Women who participate in the show are taught by the hosts, Stacy and Clinton, how to view themselves through the gaze of an imagined middle-class public. We suggest that WNTW tells us that outward appearances are the privileged site from which identities and self can be read. Even though the goal of the show is not to change identities, many of the women claim to experience a radical transformation. These transformations are often in the direction of a new professional and feminine identity, one maintained within the structure of the show by the continuing possibility and internalization of surveillance.

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 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.300
Threshold uncertainty score0.975

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.024
GPT teacher head0.337
Teacher spread0.314 · 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 teacher head, 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

Citations10
Published2010
Admission routes1
Has abstractyes

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