MétaCan
Menu
Back to cohort
Record W4405351500 · doi:10.4000/12xch

Olivier Esteves, Alice Picard, Julien Talpin, La France, tu l’aimes mais tu la quittes. Enquête sur la diaspora française musulmane

2024· article· fr· W4405351500 on OpenAlexaboutno aff
Anne de Rugy

Bibliographic record

VenueLectures · 2024
Typearticle
Languagefr
FieldSocial Sciences
TopicMulticulturalism, Politics, Migration, Gender
Canadian institutionsnot available
Fundersnot available
KeywordsAlice (programming language)DiasporaArtHumanitiesPhilosophyArt historyTheology

Abstract

fetched live from OpenAlex

Devenir français en quittant la France : tel pourrait être le titre de cet ouvrage sociologique qui interroge un phénomène peu étudié et encore moins quantifié, le départ de Français musulmans, envisagé souvent comme durable, vers le Royaume-Uni, le Canada, les Émirats arabes unis, ou encore les États-Unis, l’Europe, le Maghreb ou la Turquie. Un « exode silencieux » titre une émission des Pieds sur terre (France Culture) partant d’un article du New York Times intitulé « The Quiet Flight of M...

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)0.003
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: none
Teacher disagreement score0.122
Threshold uncertainty score0.242

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0110.003
Scholarly communication0.0070.004
Open science0.0010.002
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0310.007

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 head0.030
GPT teacher head0.330
Teacher spread0.301 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueLecturesSame topicMulticulturalism, Politics, Migration, GenderFrench-language works237,207