Illocutoire et modalisation : les marqueurs d’intensité en français
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Cet article propose un traitement systématique de la modalisation par le biais de l’analyse des forces illocutoires de Vanderveken (1988). Les critères ainsi définis sont précisés grâce à l’observation d’un corpus conversationnel dans le but d’élaborer une grammaire pragmatique de la modalisation d’intensité en français. Un système d’analyse grammaticale assistée de type SAGA pour l’analyse des actes de langage, développé en collaboration avec le Centre d’Analyse de Textes par Ordinateur (ATO) (Plante, 1988) sur la base de cette grammaire, a servi à analyser un large corpus de conversations entre enfants et a fourni des indices sur le développement du système de modalisation (Saint-Pierre et al. 1989; Feider, 1990).
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.
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it