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Enregistrement W1760295335

Some Proposals to Cope with Forms of Irony Typically Found in Literary Texts from a Relevance-Theoretical Perspective

2011· article· en· W1760295335 sur OpenAlexvenueno aff
Ma Angeles Ruiz-Moneva

Notice bibliographique

RevueStudies in literature and language · 2011
Typearticle
Langueen
DomainePsychology
ThématiqueLanguage, Metaphor, and Cognition
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésIronyOstensive definitionRelevance theoryRelevance (law)Context (archaeology)Perspective (graphical)EpistemologyLinguisticsPhilosophyPsychologyLiteratureHistoryComputer scienceArtCognitionArtificial intelligence
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

The study of irony has always been a field of interest for diverse disciplines. Whereas irony had been traditionally explained as a contrast between what was said and what was meant, more recent, pragmatically-oriented studies have adopted a wider perspective, by considering aspects like the speaker’s attitude, intention or context. Among these approaches, relevance theory has proposed an ostensive-inferential approach to communication, whereby the addressee seeks to infer the speaker’s intention. Such an approach seems to be appropriate for the study of irony, and in fact, irony has been a hotly-debated issue within the relevance-theoretical framework (Sperber and Wilson 1981, 1978), even before the model as such (Sperber and Wilson 1986/95) was explicitly fleshed out. Moreover, the proposals made reach very recent times (for instance, Wilson, 2006). In one of the contributions by Sperber and Wilson (1998), they claimed that irony was not a natural kind, and enhanced the echoic nature of verbal irony. A distinction between ostensive and non-ostensive forms of irony was put forward. Precisely, among the latter, Sperber and Wilson gave as instances forms such as dramatic irony, or irony of fate. Such types of irony may be frequently found in literary texts. As a matter of fact, they abound in the corpus selected for our study, Celestina (Fernando de Rojas, 1499/1502). This Spanish work was soon translated into English (Mabbe, 1631). The present paper sets out to provide a relevance-theoretical account of these forms of irony as manifested in the work. The discussion will be structured as follows: after the introduction of the theoretical background, we shall explain the tenets that can be applied in the forms of irony traced and under study in the corpus, and will provide with examples to illustrate our claims. Finally, the conclusions reached will be presented. The theory established a dichotomy between ostensive and non-ostensive forms of irony (Sperber & Wilson, 1998). Precisely, among the latter, these authors referred to forms such as tragic irony or irony of fate and dramatic irony. These and other related forms of irony abound in the corpus selected for our study: Celestina, an important literary Spanish work of the Late Middle Ages written by Fernando de Rojas (1499). All in all, therefore, the purpose of the present work is to analyse the forms of irony which have regarded as non-ostensive or non-echoic, taking into consideration that they seem to occur in literary works, as Rojas' work suggests. As a central hypothesis, we shall argue that the distinction between echoic and non-echoic irony should be best approached in terms of degree, as a continuum. Moreover, the corpus reveals that these forms of irony are most likely found in communicative acts which entail complex relationships between the different participants, so that not all the characters involved may have access to the context envisaged by the speaker, on the one hand, and on the other hand, characters’ actions may be mediated by the presence of an internal author that is only perceived by the external readership. Therefore, as a consequence of the differences in choice and accessibility, we shall find different levels of communication between addressers and addressees. These levels may contribute to the explanation of the forms of irony referred to above. Key words: Relevance-Theoretical Approach; Echoic Irony; Ostensive Irony; Forms Of Irony Found in Literary Texts; Celestina

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 distillée sur la base complète

Imitation des enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Qualitatif · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,508
Score d'incertitude au seuil0,481

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,015
Tête enseignante GPT0,311
Écart entre enseignants0,296 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeQualitatif
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations5
Publié2011
Routes d'admission1
Résumé présentoui

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