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Record W4409272949 · doi:10.1353/vcr.2024.a956305

Victorian Children's Fiction in the Anthropocene: Becoming Fairy in The Secret Garden

2024· article· en· W4409272949 on OpenAlexvenueno aff
R. I. Frank

Bibliographic record

VenueVictorian review · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicThemes in Literature Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsAnthropoceneHistoryLiteratureArtEnvironmental ethicsPhilosophy

Abstract

fetched live from OpenAlex

Abstract: Recent critics have pointed to the posthuman ecologies that emerge within the counter-industrial and scientific discourses of the Victorian period. Through an ecocritical, posthumanist reading of Frances Hodgson Burnett's 1911 novel The Secret Garden , this article illuminates the ways in which a critical engagement with Victorian children's Fiction within this framework can help us conceptualize alternative ways of being in and with the world. Considering in particular Donna Haraway's concepts of "naturecultures" and "companion species," as well as The Secret Garden 's situatedness within nineteenth-century discourses surrounding horticulture and fairies, I discuss how Burnett's portrayal of the garden space unsettles the nature-culture dichotomy and constitutes the garden's more-than-human cosmos as subjective and agential. In doing so, I argue, the narrative allows for the emergence of an alternative, ecocentric mode of human–non-human relationality that resonates strongly with Haraway's notion of a "companion species" community. An examination of the child protagonists' increasing embodiment and mediation of this alternative order further points to the possibility of its realization beyond the novel's alternative cosmos and thus beyond the space of "childhood."

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.954
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.019
GPT teacher head0.275
Teacher spread0.256 · 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 teacher head, not a consensus.

Study designNot applicable
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
Published2024
Admission routes1
Has abstractyes

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