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Record W3094311698 · doi:10.15273/jue.v10i2.10353

“You can’t forget our roots anyway”: French College Students’ views on a Racially and Religiously Pluralistic France

2020· article· en· W3094311698 on OpenAlexvenueno aff
Mariel Tabachnick

Bibliographic record

VenueJournal for Undergraduate Ethnography · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicMulticulturalism, Politics, Migration, Gender
Canadian institutionsnot available
Fundersnot available
KeywordsSkepticismFrenchIslamophobiaMulticulturalismIslamSociologyGender studiesCultural assimilationSecularismRacializationPoliticsViewpointsEthnic groupReligious studiesMedia studiesPolitical scienceLawAnthropologyHumanitiesEpistemologyTheologyPhilosophy

Abstract

fetched live from OpenAlex

Despite the longstanding presence of Islam in the territory of France, Muslim French must still claim and justify their belonging in the context of widespread public skepticism over Islam’s compatibility with “French” social and cultural values, such as laïcité, or secularism. The general public’s skepticism is also, in part, due to the historical and ongoing racialization of Muslim populations. Many French sub-populations, including those who are perceived as more “liberal” such as college students, are a part of this skeptical public. Therefore, how have these students speci cally been shaped by contemporary French discourses and understandings of laïcité? There is a lack of scholarly research on French college students in particular and their understandings of French identity, laïcité, and Muslims in France. To ll this gap, I conducted nine semi-structured interviews and drew on informal participant observation. In this article, I discuss French college students’ opinions on French identity as well as the desire for widespread assimilation, speci cally regarding Muslim women and their choice to wear a hijab in France. I examine these viewpoints within the framework of dominant French discourse, which often perpetuates the idea of a racialized Islam that is inherently incompatible with French culture. I argue that students on both the left and right sides of the political spectrum still reiterate opinions that t within this dominant French discourse.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
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 score0.288
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.142
GPT teacher head0.429
Teacher spread0.287 · 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 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

Citations0
Published2020
Admission routes1
Has abstractyes

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