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Record W2888006448 · doi:10.1080/00393541.2018.1476951

Habitus, Visual and Cultural Identity:<i>Mean Girls</i>’ Hyperfeminine Performances as Burlesque Pastiche and as Archetypal Female Pariahs

2018· article· en· W2888006448 on OpenAlexaff
Fiona Blaikie

Bibliographic record

VenueStudies in Art Education · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicFashion and Cultural Textiles
Canadian institutionsBrock University
Fundersnot available
KeywordsHabitusGender studiesNarrativeSituatedSociologyLiminalityIdentity (music)AestheticsGirlPerformativityFeminismHeteronormativityPsychologyArtHuman sexualityLiteratureAnthropology

Abstract

fetched live from OpenAlex

Visual and cultural identities are situated in habitus, social theory on the body and clothing. Framed by narrative inquiry, girl method, and feminist research, I investigated the mean girl experiences of Grace and Hayley, who witnessed hostility alongside an exaggerated policed feminine sartorial aesthetic. White, middle and upper class, managers of members’ social lives and aesthetic performances in designer clothing, mean girls purvey gossip and aggression. Masked by a visual aesthetic of sexualized heteronormativity enhancing their appeal to teenage girls, they incarnate binaried conceptions of gender performativity. Their aggressiveness reflects a third wave postfeminist narrative for which feminism is held responsible and accountable. As neoliberal post-feminist media and cultural constructions, they perform like Eve and wicked fairy-tale stepmothers, as archetypal female pariahs. Schools are sites of identity conflict: Bourdieusian habitus lenses offer possibilities for multimodal inquiries into visual and cultural re/presentations of situated identities in art teaching and learning.

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)0.000
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 score0.225
Threshold uncertainty score0.475

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
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 head0.059
GPT teacher head0.369
Teacher spread0.309 · 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

Citations5
Published2018
Admission routes1
Has abstractyes

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