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Record W4409219347 · doi:10.4000/13lnp

La France est-elle devenue inhospitalière ?

2025· article· fr· W4409219347 on OpenAlexaff
Flore Talamon

Bibliographic record

VenueMondes & Migrations · 2025
Typearticle
Languagefr
FieldHealth Professions
TopicHealthcare Systems and Practices
Canadian institutionsWorld Federation of Science Journalists
Fundersnot available
KeywordsPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Les débats récents ont donné une grande visibilité aux discours politiques présentant l’immigration comme une menace et l’étranger comme un danger pour la société française : la France serait-elle devenue une terre inhospitalière ? Pourtant, sur les territoires, citoyens, associations, collectifs militants et élus sont nombreux à agir pour l’accueil des exilés. En prise avec la réalité humaine des migrations, ils contribuent à faire bouger les lignes du droit pour une reconnaissance plus large du principe de fraternité. La rencontre organisée dans le cadre des Mercredis de la Porte Dorée le 23 octobre 2024, et animée par Nora Hamadi, met en lumière cette France accueillante. Avec Fabienne Brugère, philosophe, professeure à l’université Paris 8 Vincennes-Saint-Denis, Damien Carême, député européen, co-président de l’Association nationale des villes et territoires accueillants (Anvita), et Cédric Herrou, agriculteur dans la vallée de la Roya (Alpes Maritimes) et militant pour l’aide et la défense des migrants, aujourd’hui au sein de la communauté Emmaüs La Roya.

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)0.003
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.269
Threshold uncertainty score0.536

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0070.005
Scholarly communication0.0110.005
Open science0.0010.003
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.0380.006

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 head0.045
GPT teacher head0.433
Teacher spread0.388 · 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 designNot applicable
Domainnot available
GenreCommentary

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
Published2025
Admission routes1
Has abstractyes

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