Bibliographic record
Abstract
Voici un survol des tendances depuis trente ans en syntaxe générative à propos des clitiques pronominaux. Perlmutter 1971 propose que des conditions de surface sont responsables de l’ordre interne des suites de clitiques et que l’absence de sujet obligatoire, en espagnol, serait liée à d’autres propriétés syntaxiques. Sont ensuite apparus : 1 o les analyses par transformations ; 2 o les débats entre déplacement et génération à la base, dus surtout aux données sur le redoublement clitique ; 3 o l’étude de liens potentiels entre l’existence d’arguments nuls et les clitiques pronominaux, menant à des traitements morphologiques ; 4 o l’application des travaux sur le rôle central des catégories fonctionnelles et des traits ; 5 o les analyses de la structure interne des clitiques par la géométrie des traits et les variantes notationnelles des schèmes morphologiques sous forme de contraintes optimalistes hiérarchisées.
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 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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.003 | 0.018 |
| Scholarly communication | 0.006 | 0.008 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".