Constructions à prédicats légers et quasi-légers
Bibliographic record
Abstract
Nous proposons d’étendre la classe des prédicats légers (lights verbs) pour y inclure les verbes causatifs et à restructuration de l’italien. Leur structure d’argument contient des positions vides et ils forment des prédicats complexes avec des prédicats lourds par identification de positions d’arguments. Les propriétés argumentales d’un complexe avecvolere(vouloir) sont celles du prédicat lourd; quant à celles d’un complexe avecfare(faire), elles sont attribuées au fait que ce dernier a un argument externe spécifié. La formation de prédicat complexe s’effectue au niveau de la Structure d’Argument, bien que la classe des prédicats (quasi-)légers soit définie au niveau de la Structure Lexicale Conceptuelle : les prédicats s-sélectionnent des événements. Un prédicat (quasi-)léger est coïndexé à un prédicat lourd en structure-P et en Forme Logique.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.006 |
| Scholarly communication | 0.004 | 0.006 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 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; 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".