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Record W2341838844 · doi:10.1177/1367549416640553

Witches and bitches: Reality television, housewifization and the new hidden abode of production

2016· article· en· W2341838844 on OpenAlexaff
Alison Hearn

Bibliographic record

VenueEuropean Journal of Cultural Studies · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicGender, Feminism, and Media
Canadian institutionsWestern University
Fundersnot available
KeywordsCapitalismReality televisionAppropriationValue (mathematics)Social realityAestheticsSociologyPolitical scienceMedia studiesArtLawSocial sciencePolitics

Abstract

fetched live from OpenAlex

The governance of affect by capital has seen its ideological legitimation and emblematic site of production in the mainstream television industry, specifically reality television programs, as they provide templates for affective self-presentation to the public at large. As even a cursory glance at most reality television production demonstrates, it is most often women’s bodies and self-concepts that bear the burden of signifying and legitimating the message of this new economic formation: ‘conform to our template, be seen, and build a reputation!’ This article will focus on the Real Housewives franchise, which along with its network Bravo is credited with saving the fortunes of NBC, as the paradigmatic example of these new narrative trends and business models. It will interrogate the historical resonances and discontinuities between the economy of affective visibility now apparent on reality television and its modes of production and the origins of the ‘real’ housewife in early capitalism. At this time, women’s skills, bodies and reproductive capacities were violently restructured; forbidden from earning a wage or having money, women’s work inside and outside the home was simultaneously appropriated and concealed. As reality television inaugurates new kinds of labor and value creation in the 21st century, it does so in ways that are deeply gendered or ‘housewifized’; reality television’s forms of hidden, precarious, and unregulated labour recall the appropriation and denigration of the value of women’s work by systems of capitalist expansion in the 16th and 17th centuries.

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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.018
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.030
Scholarly communication0.0100.006
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0080.000

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 head0.082
GPT teacher head0.328
Teacher spread0.246 · 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

Citations17
Published2016
Admission routes1
Has abstractyes

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