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Record W2525572102

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

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

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental Philosophy and Ethics
Canadian institutionsnot available
Fundersnot available
KeywordsPaternalismNarrativeRealismIdeologyAestheticsObligationPower (physics)SociologyRural areaAppropriationPolitical scienceLawEpistemologyPoliticsLiteratureArt
DOInot available

Abstract

fetched live from 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…

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.018
Threshold uncertainty score0.051

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0090.018
Scholarly communication0.0070.003
Open science0.0010.003
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0040.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.093
GPT teacher head0.275
Teacher spread0.182 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2015
Admission routes1
Has abstractyes

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