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Record W2069256681 · doi:10.1163/187103212x624229

The Islamic Veil and its Discontents: How Do They Undermine Gender Equality

2012· article· en· W2069256681 on OpenAlexaff
Ekaterina Yahyaoui Krivenko

Bibliographic record

VenueReligion and Human Rights · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicMulticulturalism, Politics, Migration, Gender
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsIslamHuman rightsRhetoricGender equalityFace (sociological concept)Relation (database)LawSociologyPoint (geometry)Political scienceGender studiesSocial scienceHistory

Abstract

fetched live from OpenAlex

Abstract The article addresses the use of notions of gender equality and non-discrimination in the discussions concerning the practice of Islamic veiling by the European Court of Human Rights as well as by French authorities in relation to the recent adoption of the law banning full face veils in public spaces in France. The author argues that the use of the rhetoric of gender equality without the required knowledge and understanding of the justifications for and discussions about this practice existing within Islam is in both cases very inadequate and leads to results opposite to those they intended to promote. Based on insights into the discussions of Muslims about the practice of veiling the author makes some proposals for a more adequate approach to this practice both from the point of view of women’s status as well as from the point of view of relationship between Islam and the West.

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)0.009
metaresearch head score (Gemma)0.020
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: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.048

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.020
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.044
Scholarly communication0.0110.007
Open science0.0010.007
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.0040.000

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 head0.201
GPT teacher head0.393
Teacher spread0.192 · 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

Citations7
Published2012
Admission routes1
Has abstractyes

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