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Record W2761137382 · doi:10.1080/13621025.2017.1380647

France citizenship in the aftermath of 2015: officializing a two-tier system?

2017· article· en· W2761137382 on OpenAlex
Amélie Barras

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueCitizenship Studies · 2017
Typearticle
Languageen
FieldHealth Professions
TopicHealthcare Systems and Practices
Canadian institutionsYork University
FundersYork University
KeywordsCitizenshipPolitical scienceSociologyGender studiesLawPolitics

Abstract

fetched live from OpenAlex

Over the last decade, France has put in place a series of measures to reinforce laïcité and Republican values. While these notions have never clearly been defined, they have been used as a justification to scrutinize and interfere in the bodies, sensibilities and practices of ‘Muslim’ citizens. In the aftermath of the Charlie Hebdo attacks in January 2015 and the November 13th terrorist attacks that same year, these policies have become ever more important, and are buttressed by new ‘extraordinary’ measures, such as the ‘State of Emergency’. This article explores these different measures, and analyzes their consequences for French citizens, especially citizens of Muslim faith. It also pays attention to political and legal strategies put forth by activists to denounce these recent shifts, and to propose a more inclusive and equal understanding of citizenship.

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.

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)0.007
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.126
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0030.000
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 head0.277
GPT teacher head0.541
Teacher spread0.264 · 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