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Record W2953155307

On “Not Returning Time”: Melancholic Resignation in Christina Rossetti’s Goblin Market

2017· article· en· W2953155307 on OpenAlexaff
Deanna Rausch

Bibliographic record

VenueStudent Research Proceedings · 2017
Typearticle
Languageen
FieldArts and Humanities
TopicLiterature: history, themes, analysis
Canadian institutionsMacEwan University
Fundersnot available
KeywordsPoetryDepictionSisterNarrativeSpace (punctuation)ArtPoeticsArt historyBrotherSociologyLiteraturePhilosophyAnthropology
DOInot available

Abstract

fetched live from OpenAlex

Scholars have widely asserted that Christina Rossetti’s Goblin Market (1862) is an emancipatory narrative of redemption, in which two sisters, Laura and Lizzie, are tempted initially by Goblin men selling their wares in a traveling market. After succumbing to the Goblin cries, the moribund Laura needs to be saved by her sister, who braves the volatile and seductive marketplace to procure the fruit on Laura’s behalf. At the poem’s conclusion, Laura is restored to health, and the two are redeemed through domestic motherhood. Heather McAlpine argues that the sisters pursue “healthy domestic work” (121) as the antidote for consuming the fruit of the goblins. While the poem does conclude with the two women in an idyllic domestic space, Rossetti’s poetics of space and time undermine the anticipated peripeteia of the women’s redemption. My thesis endeavours to more closely examine the poem’s trajectory from the pastoral depiction of the matriarchal domestic space to an ending that reflects Rossetti’s resignation and melancholy. Discipline: English Honours Faculty Mentor: Dr. Daniel Martin

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)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.015
Threshold uncertainty score0.052

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0150.031
Scholarly communication0.0070.006
Open science0.0010.005
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0040.001

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 head0.112
GPT teacher head0.383
Teacher spread0.271 · 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 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
Published2017
Admission routes1
Has abstractyes

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