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Record W2736044894 · doi:10.3167/hrrh.2017.430202

L’ordre et le bonheur: Langues, nations, et territoires dans la réorganisation de l’Europe après la Première guerre mondiale

2017· article· fr· W2736044894 on OpenAlexvenueno aff
Sébastien Moret

Bibliographic record

VenueHistorical Reflections/Réflexions Historiques · 2017
Typearticle
Languagefr
FieldArts and Humanities
TopicHistorical Linguistics and Language Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPhilosophyPolitical science

Abstract

fetched live from OpenAlex

Avant même la fin de la Première guerre mondiale, des discussions s’ébauchèrent pour tenter d’imaginer l’Europe de l’après-guerre. Dans le cadre de cet article, nous nous intéresserons à un aspect particulier de ces discussions relatives à l’Europe nouvelle, la volonté affichée dans de nombreux textes d’aboutir à une réorganisation naturelle et scientifique du continent, avec la conviction sous-jacente qu’une telle réorganisation ne pouvait qu’aboutir à une paix durable, puisque chaque Etat aurait ainsi été à sa place légitime. Pour parvenir à cette cartographie parfaite de l’Europe, c’est avant tout à la linguistique, dans ses conceptions romantique et naturaliste, que l’on fit appel. Pourtant, au début du vingtième siècle, les idées romantiques et naturalistes sur la langue avaient été contredites et démenties au profit d’une conception sociale de la langue. Il faudra donc se demander pourquoi des idées scientifiques dépassées firent leur retour à ce moment particulier de l’histoire européenne.

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 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)0.001
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.810
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0080.001
Scholarly communication0.0010.001
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 head0.042
GPT teacher head0.305
Teacher spread0.263 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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

Citations1
Published2017
Admission routes1
Has abstractyes

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