Notice bibliographique
Résumé
Recent work in mental spaces theory describes ways in which mental spaces networks represent subjectified and intersubjective meanings. Verhagen (2005) discusses constructions which evoke negotiation of construal across different subjectivities (e.g., extraposed 'that'-clauses, adverbial conjunctions). Sweetser and Ferrari (forthcoming) argue that subjectification involves migration of epistemic stance upwards from its original space. In the paper, I focus on the interaction between subjectified and intersubjective construals, using data from blogs and journalistic prose.Common lexical expressions of epistemic stance ('think', 'doubt', or 'know', epistemic modals, epistemic disjuncts such as 'surprisingly') are naturally interpretable in the way suggested by Sweetser and Ferrari. Syntactically, stance markers appear sentence- (or VP-) initially, and disjuncts are additionally separated by intonation ('I think/doubt/know X', 'He can be hired.', 'Surprisingly, X'). The stance-marking uses of 'I think' or modals have been described as grammaticalized expressions of subjectified and interpersonal meanings (Sweetser 1990, Thompson and Mulac 1991, Traugott 1989, 1995, Vandelanotte 2005). However, the difference between subjectified and intersubjective meanings has not been fully clarified.The difference can best be revealed when stance expressions co-occur with networks involving alternative spaces. Alternative spaces appear primarily in negation (Fauconnier 1985/1994), as well as in predictive conditionals and or constructions (Dancygier and Sweetser 2005). Any interpretation of the negated sentence 'There is no need to worry' relies crucially on the alternative space where worrying is viewed as necessary. Similarly, a conditional sentence such as 'If Tom applies, he can be hired', constructs an alternative scenario (no application, missed opportunity). In the paper, I discuss the cases where stance interacts with negation.Negation is commonly used to affect stance (rather than factual information). 'He can't be hired', 'I don't think X' or 'Not surprisingly, X' all use negation with reference to epistemic stance, and not to the content of the clause (though advocates of Neg-Raising disagree). However, negation interacts independently with different levels of stance marking. A blogger commenting on a song writer's skills might say 'I don't think he can write songs' or 'I think he just can't write songs', to distinguish her subjective doubt from a negative evaluation of the writer's abilities, which shows that the two levels of stance marking are independent. In the actual blog, she wrote 'I don't think he can't write songs', to distance herself from the contextually available criticism of the writer. This intersubjective reading is available primarily in the cases where the speaker's negative stance has another subject's expression of negative stance in its scope. The intersubjective level is thus the top level in the set-up. Negation can be extracted to a yet higher level in constructions like 'It's not that I think/I don't think X', 'If not for X', 'It can't be true that X'. The differences in interpretation which arise from negative stance affecting any of the subjectified levels or migrating further upwards to the intersubjective level can be explained through what I refer to as 'stance-stacking'. The varying directions of migration and projection of stance then explain the resulting constructional patterns.
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.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,004 | 0,011 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,003 | 0,002 |
| Études des sciences et des technologies | 0,004 | 0,010 |
| Communication savante | 0,007 | 0,021 |
| Science ouverte | 0,001 | 0,009 |
| Intégrité de la recherche | 0,002 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,012 | 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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».