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Garotas de loja, história social e teoria social

2017· article· pt· W2745362613 on OpenAlexaff
Pamela Cox

Bibliographic record

VenueRevista Brasileira de História · 2017
Typearticle
Languagept
FieldArts and Humanities
TopicFashion and Cultural Textiles
Canadian institutionsAUG Signals (Canada)
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

RESUMO Os trabalhadores de loja, na maioria mulheres, constituíram uma proporção significativa da força de trabalho da Grã-Bretanha desde a década de 1850, mas ainda sabemos relativamente pouco sobre sua história. Este artigo argumenta que houve uma negligência sistemática em relação a um dos maiores segmentos do emprego feminino por parte dos historiadores, e investiga por que isso aconteceu. Sugere que essa negligência esteja ligada a enfoques do trabalho que negligenciaram o setor de serviços como um todo, bem como a um contínuo mal-estar com as transformações da vida social da sociedade de consumo. Um elemento dessa transformação foi o surgimento de novas formas de trabalho estético, emocional e sexualizado. Certos tipos de “garotas de loja” as incorporaram de forma impressionante. Como resultado, tornaram-se ícones duradouros de consumo de massa, simultaneamente descartados como dublês culturais passivos ou punidos como poderosos agentes de destruição cultural. O artigo entrelaça a história social cotidiana das trabalhadoras de loja com representações inconstantes da “garota de loja”, das paródias do café-concerto vitoriano, mediante a teoria social modernista, ao bizarro ataque à bomba da butique Biba em Londres pela Brigada Angry, no Dia do Trabalho, em 1971. Conclui que os historiadores progressistas têm muito a ganhar ao recuperar essas trabalhadoras e a economia de serviços que elas ajudaram a criar.

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 categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.460
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0100.002
Scholarly communication0.0050.001
Open science0.0020.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0170.002

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 head0.064
GPT teacher head0.306
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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations0
Published2017
Admission routes1
Has abstractyes

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