MétaCan
Menu
Retour à la cohorte
Enregistrement W2027434520 · doi:10.1353/vcr.2009.0041

"Happy and Yet Pitying Tears": Deafness and Affective Disjuncture in Dickens's "Doctor Marigold"

2009· article· en· W2027434520 sur OpenAlexvenueno aff
Martha Stoddard Holmes

Notice bibliographique

RevueVictorian review · 2009
Typearticle
Langueen
DomaineMedicine
ThématiqueLiterature Analysis and Criticism
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésPitySorrowSympathySensibilityLaughterIndignationPsychoanalysisGriefLiteratureUncannyPsychologyArtSocial psychologyLaw

Résumé

récupéré en direct d'OpenAlex

"Happy and Yet Pitying Tears":Deafness and Affective Disjuncture in Dickens's "Doctor Marigold" Martha Stoddard Holmes (bio) Tears, Jerome McGann observes, are the proper emblem of the literatures of sensibility and sentiment. They mark out a special population who live and move and have their being by affect, through sympathy: men and women of sorrow who are acquainted with grief—responding to it in others, suffering it themselves. (7) This characterization fits beautifully with Charles Dickens's fiction, in which weeping has long been the sign through which the imagined community of the sympathetic may recognize its fellows. Hippolyte Taine assessed Dickens as the writer who knew best "how to touch and melt," who "makes us weep, absolutely shed tears; before reading him we did not know there was so much pity in the human heart" (qtd. in Collins 351). Reports of these touchings and meltings, concurrently intimate and public, are a major thread in the culture of Dickens-loving. When Dickens met Kate Douglas (later Wiggin) on the train from Portland to Boston in the 1860s, for example, her statement about missing his recent performance generated the following lachrymal communion: "Did you want to go to my reading very much?" asked Dickens. This was a question that stirred the depths of her disappointment and sorrow. Her lips trembled as she faltered, "Yes, more than tongue can tell." Only when she was sure the tears in her eyes were not going to fall did she look up, and then she saw that there were tears in his eyes too. "Do you cry when you read out loud?" she asked. "We all do in our family. And we never read about Tiny Tim, or about Steerforth when his body is washed up on the beach, on Saturday nights, or our eyes are too swollen to go to Sunday School." "Yes, I cry when I read about Steerforth," Dickens answered quietly. (Johnson 1091) [End Page 53] The author may have been thinking of his performances of excerpts from David Copperfield, his favourite of all the texts used in the reading tours that distinguished (and probably hastened) the end of his life. During the public readings, Dickens both invited and modelled audiences' emotional responses, reportedly laughing with them and letting tears fall at points of pathos.1 He also narrated himself as a writer who "wept and laughed, and wept again, and excited himself in a most extraordinary manner in the composition" of A Christmas Carol—providing a model for readers like Leslie Fiedler, who confesses that over this "schmaltzy classic," he has wept and will most likely weep again (House et al. 4.2; Fiedler 13).2 So, while tears were in Hippocratic medicine theorized as a waste product, crying over Dickens is arguably more product than waste, generative of (among other things) a sense of belonging to a vast imagined fellowship of weepers led by the Inimitable himself. As part of a larger "affective turn" in critical and cultural studies, scholarship on the cultural and specifically literary history of tears has deepened an already enjoyable discussion of weeping readers, authors, and characters.3 From this base, however, specific kinds of affective formations in literary texts still merit more detailed scrutiny. Most critical inquiries into the pleasures of weeping over books elide, for example, the question of what it means to be the object cried over rather than the sympathetic body.4 Over whom do we cry in Dickens, and when, and why? What links are forged between crying characters and crying readers—and to what end?5 What larger cultural landscapes create and are created by those zones of emotional intensity? Such questions propel my analysis of Dickens's Christmas story "Doctor Marigold," a work that makes productive and conventional use of a deaf child and, later, her speaking daughter as markers for the powerful feelings the story evoked in Victorian audiences and still evokes in readers and listeners today. While the story's pathos, particularly the pity it names in its closing moments, has been for most critics bound to deafness and hearing, muteness and speech, "Doctor Marigold" is actually a considerably happy and even progressive narrative about deafness...

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)0,001
score de la tête « metaresearch » (Gemma)0,002
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Autre · Signal consensuel: aucune
Score de désaccord entre enseignants0,060
Score d'incertitude au seuil0,119

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,002
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,000
Études des sciences et des technologies0,0140,015
Communication savante0,0040,002
Science ouverte0,0010,004
Intégrité de la recherche0,0030,005
Charge utile insuffisante (le modèle a refusé de juger)0,0030,000

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 Opus0,004
Tête enseignante GPT0,277
Écart entre enseignants0,272 · 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.

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

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

En bref

Citations3
Publié2009
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueVictorian reviewMême sujetLiterature Analysis and CriticismTravaux en français237 207