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Record W2796509989 · doi:10.4000/dhfles.4145

Enseigner le français en Russie au milieu du XVIIIe siècle. Pierre de Laval, précepteur et auteur d’une grammaire pour les Russes

2015· article· fr· W2796509989 on OpenAlexaboutno aff
Sergueï Vlassov

Bibliographic record

VenueDocuments pour l histoire du français langue étrangère ou seconde · 2015
Typearticle
Languagefr
FieldArts and Humanities
TopicHistorical Linguistics and Language Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Dans cet article nous nous proposons d’analyser de nombreuses activités pédagogiques de Pierre Laval, maître de français et auteur d’une première grammaire française pour les Russes publiée en français à Saint-Pétersbourg, au début des années 1950 du XVIIIe siècle. Laval, tout en suivant sa source principale, la grammaire de Restaut, complète son modèle par des exemples « sensibles » et originaux liés à des situations de la vie quotidienne et adaptés à la réalité russe de l’époque. Le traité de Laval est accompagné d’une traduction russe en regard qui a contribué à l’élaboration de la terminologie grammaticale russe. L’article est suivi de deux annexes, de l’épître dédicatoire au prince Youri Troubetskoï et de la Préface dans lesquelles Laval expose ses idées sur l’éducation en général et sur l’enseignement de la grammaire française en particulier.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.171
Threshold uncertainty score0.340

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.004
Scholarly communication0.0030.001
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.001

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 head0.015
GPT teacher head0.230
Teacher spread0.215 · 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
Published2015
Admission routes1
Has abstractyes

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