Bibliographic record
Abstract
Je présente le principe de compositionnalité et deux arguments classiques en sa faveur — un argument de Davidson et un autre attribuable aux sémanticiens vériconditionnalistes. Je soutiens ensuite que deux catégories d’expressions — les pronoms pluriels et les contextuels — constituent des contre-exemples pour l’argument vériconditionnaliste, mais pas pour l’argument de Davidson. La raison en est que les premiers ont de fortes exigences quant aux entités constituant la valeur sémantique des expressions linguistiques faisant partie du lexique d’une langue, alors que l’argument de Davidson n’en a pratiquement aucune. Je propose finalement la notion de carte de contenu afin de prendre en compte l’idée que les énonciations n’ont pas toutes des conditions de vérité sémantiquement définies, mais que toutes déterminent tout de même sémantiquement, en tout ou en partie, une entité dotée de conditions de vérité.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 teacher head, 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".