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Record W1988146205 · doi:10.1080/14755610.2011.633536

French secularism as a ‘guarantor’ of women's rights? Muslim women and gender politics in a Parisian<i>banlieue</i>

2011· article· en· W1988146205 on OpenAlexaff
Jennifer A. Selby

Bibliographic record

VenueCulture and Religion · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicMulticulturalism, Politics, Migration, Gender
Canadian institutionsMemorial University of Newfoundland
FundersHarvard University
KeywordsSecularismPoliticsGender studiesIslamSociologyFeminismSecularityPolitical scienceReligious studiesLawTheologyPhilosophy

Abstract

fetched live from OpenAlex

This paper considers contemporary discourse in France that positions secularism (laïcité) as a guarantor of Muslim women's rights. In the first section I sketch a socio-historical genealogy of this discourse focusing on key shifts in its articulation. I suggest that the current identification between secularism and Muslim women's rights has its main expressions in recent public policy commissions and, as an example on the ground, in the positions taken by France's largest feminist organisation, Femmes Solidaires. Informed by one another, these commissions and this organisation (a) conceptualise Islam as overtly political and patriarchal and (b) define secularism as the primary way to ‘liberate’ Muslim women. The second section examines the impact of this discourse on Muslim communities in Petit Nanterre, a Parisian suburb where I conducted extensive anthropological fieldwork. Significantly, Muslim women in this suburb are uninterested in headscarf-related debates on secularism and more vividly engaged in the 2005 Pork Affair, a locally oriented controversy in a public school. I conclude that the religious concerns of the Muslim women positioned at the centre of the secular debate are expressed in certain forms of activism, efforts ignored by commissions and women's advocacy groups.

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)0.002
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: Empirical
Teacher disagreement score0.096
Threshold uncertainty score0.190

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.014
Scholarly communication0.0060.002
Open science0.0000.001
Research integrity0.0020.001
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 head0.047
GPT teacher head0.326
Teacher spread0.279 · 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

Citations25
Published2011
Admission routes1
Has abstractyes

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