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Record W35132583 · doi:10.1163/9789042032316_013

Turmoil, Trauma and Mourning in Jane Urquhart’s The Whirlpool

2010· book-chapter· en· W35132583 on OpenAlexaboutno aff
Elodie Rousselot

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldArts and Humanities
TopicShort Stories in Global Literature
Canadian institutionsnot available
Fundersnot available
KeywordsScholarshipIronyContext (archaeology)HistoryIdeologyLiteratureNarrativeGreatnessPoetryBritish EmpirePostmodernismPoliticsArtColonialismPolitical scienceLawArchaeology

Abstract

fetched live from OpenAlex

Recent scholarship on British neo-Victorian fiction has presented contemporary authors’ returns to the nineteenth century as an expression of nostalgia for this period and for the work of their Victorian literary predecessors. In the context of non-British texts however, those returns to bygone times of Victorian ‘literary greatness’ may be used to different effect: that of re-appropriating and challenging, rather than confirming, these typical nostalgic drives. This is the case in Jane Urquhart’s novel The Whirlpool (1986), set in the wilderness of Niagara Falls, Canada, but framed by a narrative sequence focused on Robert Browning’s death in 1889 Venice. The use of irony and the presence of ‘postmodern gaps’ in the novel’s quotational process serve to highlight and undermine the lingering effects of the Victorian canon on new poetic voices. The novel’s focus on issues of death and decay in the old world of Europe also emphasises the renewal potential present in the Canadian wild. By presenting the act of mourning as a specifically Victorian cultural expression and ideological by-product of the British Empire, the novel successfully challenges the political and historical legacy of colonisation in Canada. In this context, mourning is used as a commemorative process to inscribe otherwise silenced histories, and thus contributes to the establishment of a Canadian historical consciousness.

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)0.003
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: Empirical
Teacher disagreement score0.238
Threshold uncertainty score0.474

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0240.026
Scholarly communication0.0070.003
Open science0.0010.005
Research integrity0.0030.006
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 head0.016
GPT teacher head0.204
Teacher spread0.187 · 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
Published2010
Admission routes1
Has abstractyes

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