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Record W4409219347 · doi:10.4000/13lnp

La France est-elle devenue inhospitalière ?

2025· article· fr· W4409219347 on OpenAlex

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.

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.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.450
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.002

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