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Enregistrement W4235636096 · doi:10.5325/studamerhumor.5.2.0285

On Second Thought

2019· article· en· W4235636096 sur OpenAlexaffabout
Jessyka Finley, Dale Tracy

Notice bibliographique

RevueStudies in American Humor · 2019
Typearticle
Langueen
DomaineArts and Humanities
ThématiqueContemporary Literature and Criticism
Établissements canadiensRoyal Military College of Canada
Organismes subventionnairesnon disponible
Mots-clésJokeSeriousnessAestheticsComedyAmusementSociologyLiteraturePsychologyPhilosophySocial psychologyEpistemologyArt

Résumé

récupéré en direct d'OpenAlex

Editors:Hannah Gadsby's Nanette has become a cultural phenomenon, and with good reason. Her stand-up special abruptly and shockingly transitions from a comic monologue to a frank and bracing soul-baring reveal of the violence she was subject to as a lesbian. In her discussion of Gadsby's performance, Beck Krefting puts forward the argument that the comedic frame of Gadsby's rendering of her experience necessarily demands elision and omission of certain events, “in the service of satire's form.”1 Krefting's thoughtful analysis raises more questions about ethics and efficacy: do Gadsby's stylistic choices in her deployment of (anti)satire implicitly say that there are some things we shouldn't laugh about? Does a full and honest reckoning with homophobia and its concomitant violence lie beyond the purview of satire proper? Is there a fundamental division between what we can laugh about and serious critique?Gadsby chooses to break from the typical stand-up form in relaying to the audience her trauma and violence, bringing forth a painful tension and “then refusing to assuage it” (100). This choice is a stylistic one, not a choice forced by a real-world state of affairs in which a joke lessens or undercuts the seriousness of an event or experience. Also a stylistic choice is Gadsby's version of a joke in which the reality of the violence is omitted or elided. Is her hand forced by the limits of satire as a form or by a personal sensibility that distinguishes between comedic material and that which demands to be heard as real? Are these two forms of discourse truly incommensurable? Certainly people can (and must) make these kinds of decisions and distinctions for themselves and their performances, but what does it mean to say that one's own distinctions between what's comic fodder and what's off limits reflect a universal divide? It seems to me to put us on a path to a limited view of satire's efficacy and its capacity for social critique and commentary.Jessyka FinleyPostdoctoral Fellow in American StudiesMiddlebury CollegeEditors:In “‘Deplorable’ Satire: Alt-Right Memes, White Genocide Tweets, and Redpilling Normies,” Viveca S. Greene clarifies the operation of satirical tweets and memes. This clarity opens up additional layers of complexity to ponder with regard to satire.Arguing against judging satire by authorial intent or audience reception, Greene concludes that instead “the contexts in which these tweets or memes were created and the discursive spaces in which they came to circulate are what make them satirical.”2 However, the relationship between the texts and the contexts is difficult to read. Greene notes that satiric utterances ironically “inhabit the discourses they seek to contest, playing on tensions between two meanings (a positive and negative valuation of a given group or set of political/social values)” (41). How the satire operates in the discursive space makes it satire, but this operation is precisely what can be so difficult to understand.Greene explains that, in the case of a tweet, “knowledge of the hashtags and topics … is likely helpful, as is familiarity with the Twitter accounts/ users responsible for the tweets” (50). Because knowledge of the account/user brings us back to a kind of authorial intent, I'm interested in sorting out the kinds of knowledge that are at work in these assessments. We can think about the identity of the Twitter account/user as an engagement not with an individual as author with conscious or stated intention but with the author function (Foucault's concept): previous tweets allow us to form an idea of coherent authorship by which to understand the tweet in question, regardless of what the individual understands or communicates about intent.Likewise, Greene shows the ways that audience reception can be misleading, “maintain[ing] that individual intentions are far less significant than social consequences in discussions of satire” (50). However, social consequence depends on audience interpretation, which determines how the satirical or not-satirical tweet or meme gains meaning and, thus, consequence in discursive space. In other words, although Greene discounts authorial intent and audience reception, some version of both come through context rather than individuals. Further, even context can lead to ambiguity because there is often wide disagreement about what consequences are and even about the basic facts of our social reality.We're left with several questions: Does the key to understanding satire reside in the movement away from individuals and into subject positions? Does satire's operation involve identity categories more than it does individuals? Does satire operate more clearly at the level of power relations than do other texts? How helpful might be literary theory for understanding both alt-right satire and progressive satire?Dale TracyAssistant ProfessorDepartment of English, Culture, CommunicationRoyal Military College of Canada

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,003
score de la tête « metaresearch » (Gemma)0,013
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,301
Score d'incertitude au seuil0,997

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0030,013
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0030,002
Études des sciences et des technologies0,0060,006
Communication savante0,0130,007
Science ouverte0,0020,005
Intégrité de la recherche0,0050,007
Charge utile insuffisante (le modèle a refusé de juger)0,3010,112

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 Opus0,038
Tête enseignante GPT0,300
Écart entre enseignants0,262 · 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 source (Gemma direct ou Codex distillé), pas un consensus.

Devis d'étudeSans objet
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

Citations0
Publié2019
Routes d'admission2
Résumé présentoui

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