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Enregistrement W2525572102

Scenic views and paternalistic obligations : depictions of landscape in the Victorian realist novel

2015· article· en· W2525572102 sur OpenAlexaboutno aff
Christina Blythin

Notice bibliographique

Revuenon disponible
Typearticle
Langueen
DomaineEnvironmental Science
ThématiqueEnvironmental Philosophy and Ethics
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésPaternalismNarrativeRealismIdeologyAestheticsObligationPower (physics)SociologyRural areaAppropriationPolitical scienceLawEpistemologyPoliticsLiteratureArt
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Thesis Ph. D. Michigan State University. English 2015.%%%%With the many details that fill Victorian realist novels, the frequent descriptions of scenic country views that interrupt and halt the action of the narrative could be dismissed as part of realism’s illusion of comprehensive and objective reporting. However, I suggest that the realist novel uses landscape depictions as a vehicle for exploring the tensions between its wish to relieve the suffering of the rural poor and its desire to preserve the countryside as a site to be enjoyed by the privileged. By representing the countryside in terms of landscape, the novels showcase what is pleasing about land that has not been developed for purposes of industry, yet landscape, as a representative and interpretative mode, is grounded in ideologies that validate and reinforce the oppressive power structures that are largely responsible for the hardships that the novels wish to alleviate. I argue that the realist novel attempts to solve this paradox by shifting the way landscape is represented and interpreted, thus changing the way the countryside itself is perceived, in order to posit a new understanding of the relationship between social leadership and control over the land. This project examines how mid-century realist novels employ landscape as a means of linking the pleasures of land ownership with a paternalistic obligation to care for the local poor in an attempt to solve the problems of rural poverty and social instability. These novels are sympathetic to the plight of the poor, yet they are also invested in the preservation of the country estate, not only in terms of maintaining the existing physical structures that make up an estate and its grounds, but also with regard to its roles as an institution of land ownership and as a seat of political power. I suggest that this problem drives how land is represented in many realist novels: by depicting the enjoyment of landscape as being linked with a paternalistic responsibility to provide for the poor, the novels attempt to mitigate the social problems of the countryside, which are rooted in the landholding institution, while still preserving the relative sociopolitical stability provided by the landholding model and the accompanying aesthetic properties of landed estates and undeveloped countryside. Chapter one examines Jane Austen’s Mansfield Park as an example of how the landed gentry’s desire to manipulate the structure of private land through “improvements” resulted in their virtual appropriation of all open lands in the countryside. In chapter two, I claim that Dinah Craik’s John Halifax, Gentleman and Charles Dickens’s Bleak House depict the estate as a reward for good behavior as opposed to an indicator of lineage, and the novels work to change the meaning of landscape by infusing the enjoyment of scenic views with a sense of paternalistic duty; however, they are unsure of how to handle the large manor house, both as a physical entity in which the characters live and as a symbol of the estate in general. The…

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: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,133
Score d'incertitude au seuil0,168

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 Opus0,093
Tête enseignante GPT0,275
Écart entre enseignants0,182 · 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'étudeObservationnel
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
Publié2015
Routes d'admission1
Résumé présentoui

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