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Record W2767397536 · doi:10.4000/hommesmigrations.3768

Joseph Roth (traduit de l’allemand, préfacé et annoté par Alexis Tautou), Viens à Vienne je t’attends

2016· article· fr· W2767397536 on OpenAlexaff
Mustapha Harzoune

Bibliographic record

VenueHommes & migrations · 2016
Typearticle
Languagefr
FieldArts and Humanities
TopicGerman History and Society
Canadian institutionsWorld Federation of Science Journalists
Fundersnot available
KeywordsArtPhilosophy

Abstract

fetched live from OpenAlex

L’histoire des représentations accolées aux banlieues va de pair avec celles de la construction des grands ensembles urbains aux abords des villes, de leur peuplement, et des politiques publiques qui tentent d’accompagner leur évolution. Les acteurs publics dans ces territoires font face à une socialité complexe, où la ségrégation spatiale, socio-économique se double de recherches d’appartenance et de malaises identitaires. De la promotion de la mixité à celle de la proximité, les mots d’ordre qui déterminent l’action des intervenants ou des éducateurs et des enseignants tentent de dégager des orientations qui conditionnent la compréhension des enjeux et les pratiques professionnelles en banlieue.

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)0.001
metaresearch head score (Gemma)0.002
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: Empirical · Consensus signal: none
Teacher disagreement score0.016
Threshold uncertainty score0.046

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.003
Scholarly communication0.0040.005
Open science0.0010.001
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0140.007

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 head0.025
GPT teacher head0.247
Teacher spread0.222 · 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
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
Published2016
Admission routes1
Has abstractyes

Explore more

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