Les verbes causatifs du type permissif dans les structures parémiologiques serbes
Bibliographic record
Abstract
Le présent article vise à examiner, par le biais de l’analyse sémantico-syntaxique et du procédé descriptif, l’emploi des verbes causatifs de caractère permissif figurant dans les structures parémiologiques de la langue serbe. La recherche s’inscrit dans le cadre des postulats théoriques sur les relations causatives-manipulatives et le classement sémantique des verbes causatifs-manipulatifs établis par Alanović (2011). Plus précisément, l’objectif est de déterminer quelles sont les sous-classes sémantiques de ces verbes qui apparaissent dans les parémies serbes et grâce auxquels ces unités linguistiques spécifiques actualisent leurs contenus sémantiques et transmettent leurs messages. Le corpus exploré porte sur le recueil des parémies serbes de Karadžić ([1836] 1985) et regroupe une centaine d’occurrences parémiologiques serbes contenant des verbes permissifs.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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.
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".