Pourquoi ce travail est dans la base
Une base qui oublie comment elle a trouvé un travail ne peut pas être vérifiée. Voici les voies qui ont admis celui-ci.
Notice bibliographique
Résumé
Jerry Fodor and Ernie Lepore have argued that inferential roles are not compositional.It is unclear, however, whether the theories at which they aim their objection are obliged to meet the strong compositionality requirement they have in mind.But even if that requirement is accepted, the data they adduce can in fact be derived from an inferential-role theory that meets it.I explain this in terms of Robert Brandom's substitutional conception of inferential roles.The several objections the proposal invites are worth discussing because they rest, I think, on neglect of some interesting and important facts about inferential roles.Whether Fodor's and Lepore's strong compositionality requirement is justified or not, then, inferential-role theories do not have the problem that they claim to have identified.Jerry Fodor and Ernie Lepore have argued -"frequently, loudly, and in many places" 1that inferential roles are not compositional.If they are right then things look grim for any semantic theory that incorporates a notion of inferential role.One problem with their argument is that it is unclear whether the theories at which they aim their objection are obliged to meet the strong compositionality requirement they have in mind.But even if that requirement is accepted, the data they adduce can in fact be derived from an inferential-role theory thats meets it.I explain this in terms of Robert Brandom's (1994) substitutional conception of inferential roles.The several objections the proposal invites are worth discussing because they rest, I think, on neglect of some interesting and important facts about inferential roles.Whether Fodor's and Lepore's strong compositionality requirement is justified or not, then, inferential-role theories do not have the problem that they claim to have identified. The objectionFodor and Lepore support their objection on examples such as the following.Suppose... that you happen to think that brown cows are dangerous; then it's part of the inferential role of "brown cow" for you that it does (or can) figure in inferences of the form "brown cow → dangerous."But, at first blush anyhow, this fact about the inferential role of "brown cow" doesn't seem to derive from facts about the inferential roles of its constituents in the way that, for example, the validity of inferences like "brown cow → brown animal" or "brown cow → not green cow"
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle