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Record W41761683 · doi:10.5206/cie-eci.v40i2.9180

Rapport aux savoirs des étudiantes moutahajibâte françaises

2011· article· fr· W41761683 on OpenAlexaffvenue
Amina Triki-Yamani

Bibliographic record

VenueComparative and International Education · 2011
Typearticle
Languagefr
FieldSocial Sciences
TopicMulticulturalism, Politics, Migration, Gender
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsHumanitiesIdentity (music)SociologyEthnologyPolitical scienceArt

Abstract

fetched live from OpenAlex

Cet article propose une synthèse des résultats principaux d’une recherche doctorale portant sur le rapport aux savoirs d’étudiantes françaises musulmanes, d’origine maghrébine, vivant en France, et dont la particularité est de porter le hijâb et de fréquenter régulièrement la mosquée. Dans un premier temps, en retraçant les stratégies identitaires de dix-sept étudiantes moutahajibâte, on a tenté de comprendre comment l’adoption de « la stratégie du retournement du stigmate » par ces jeunes femmes accentue leur rapport conflictuel aux savoirs laïques. Dans un second temps, on a exploré les fonctions psychiques du hijâb permettant de réajuster le « Moi-peau » chez ces jeunes femmes ainsi que leurs conflits internes des savoirs. This article presents a synthesis of a doctoral study relating to French Muslim women students’ relation to knowledge. The participants are of North African origin; they live in France and their custom is to wear the hijâb and to attend the mosque regularly. First of all, the purpose of relating the records of seventeen veiled (moutahajibâte) students’ identity strategies was to try to understand how adopting “the strategy of returning to stigmatization” by these young women increased their conflicting relationship to secular learning. Secondly, the psychic functions of the hijâb that permit the women to readjust the constancy of their self-identity of the young women as well as their internal learning conflicts was explored.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.470
Threshold uncertainty score1.000

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 studies0.0010.002
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.505
GPT teacher head0.479
Teacher spread0.026 · 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.

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

Citations1
Published2011
Admission routes2
Has abstractyes

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