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Record W2246889155 · doi:10.1177/1354067x15606861

The veil and the search for the self: From identity politics to cultural expression

2015· article· en· W2246889155 on OpenAlexaff
Cor Baerveldt

Bibliographic record

VenueCulture & Psychology · 2015
Typearticle
Languageen
FieldPsychology
TopicCultural Differences and Values
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsOpposition (politics)Prejudice (legal term)PoliticsAgency (philosophy)Identity (music)Style (visual arts)SociologyCultural identityExpression (computer science)Social psychologyGender studiesAestheticsPsychologyPolitical scienceLawHistorySocial science

Abstract

fetched live from OpenAlex

Wagner, Sen, Permanadeli and Howarth compare the reasons for wearing the veil of Muslim women in a Muslim majority society, Indonesia and in a society with a Muslim minority, India. They conclude that particularly Muslim minority women display a variety of reasons and strategies with regards to the headscarf, which according to Wagner et al. serve in the construction of identity and as a means of opposition against stereotypes and prejudice. Taking the case of Muslim women in Western societies, I argue that the language of identity, stereotypes and prejudice is insufficient for understanding the agency of women donning the veil. Instead I propose a genetic cultural psychological approach focused on the cultivation of affect and the acquisition of durable bodily dispositions through cultural training. The veil is part of an entire expressive style and discursive accounts are only a minor part of that style. Recognizing that style – unlike propositional accounts – is inherently ambiguous and polysemic allows us to see how Muslim women are creating for themselves the space of an agency that is not primarily defined in terms of opposition or of other people's demands for proper reasons.

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.128
Threshold uncertainty score0.613

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.183
GPT teacher head0.480
Teacher spread0.298 · 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 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

Citations9
Published2015
Admission routes1
Has abstractyes

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