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Record W4388729370 · doi:10.3828/gncs.2023.10

A Moment’s Reprieve: Reading Edward Prime-Stevenson’s <i>Left to Themselves</i> Geographically

2023· article· en· W4388729370 on OpenAlexaboutno aff
Tom Ue, Jacob Guy Aubut

Bibliographic record

VenueGlobal Nineteenth-Century Studies · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicShort Stories in Global Literature
Canadian institutionsnot available
Fundersnot available
KeywordsScholarshipReading (process)Prime (order theory)Space (punctuation)PoliticsHistoryPrime ministerSociologyNova scotiaPhilosophyLawPolitical scienceEthnologyLinguistics

Abstract

fetched live from OpenAlex

Earlier treatments of Edward Prime-Stevenson’s Left to Themselves (1891) have performed the crucial tasks of arguing for its importance in literary history as well as examining some of its formal innovations. This article advances scholarship by attending to its treatment of places. In the novel, the young protagonists Philip Touchtone and Gerald Saxton embark on an eventful journey from New York to Halifax, Nova Scotia. Along the way, they encounter all sorts of perils from attempted kidnapping to actual shipwrecks. Philip’s and Gerald’s perceptions, and their engagements with space, we suggest, inform our understandings of them and of Stevenson’s social commentary. By analysing his project geographically, and with particular attention to a central episode that takes place in the fictional Chantico Island, this essay reveals how Stevenson turns to places to expose, to unsettle, and ultimately to (re)imagine social realities.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.056
Threshold uncertainty score0.111

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0100.014
Scholarly communication0.0040.003
Open science0.0010.003
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.027
GPT teacher head0.294
Teacher spread0.267 · 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
Published2023
Admission routes1
Has abstractyes

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