Bibliographic record
Abstract
RÉSUMÉ Au-delà du Stammbaum. Théories modernes du changement linguistique Deux thèmes dans l'histoire de la linguistique historique sont discutés en détail : (1) L'École néogrammarienne et son rôle dans la formulation (i) d'un modèle du changement linguistique, et (ii) d'une méthode scientifique pour la reconstruction de lexèmes et de traits linguistiques ancestraux. (2) La doctrine saussurienne de la langue comme système et son influence sur les écoles linguistiques du 20e siècle, à savoir le structuralisme, la géolinguistique, le générativisme, la sociolinguistique variationniste. À la fin de l'article sont présentées quelques observations sur les implications de l'étude du changement linguistique pour l'étude du changement socioculturel. Mots clés : Tuite, linguistique historique, Saussure, néogrammariens, changement linguistique et culturel
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.095 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".