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Record W2276820080 · doi:10.4312/elope.3.1-2.169-182

Emigration Gothic: A Scotswoman’s Contribution to the New World

2006· article· en· W2276820080 on OpenAlexaboutno aff
Michelle Gadpaille

Bibliographic record

VenueELOPE English Language Overseas Perspectives and Enquiries · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicGothic Literature and Media Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsEmigrationBattleImmigrationImprisonmentSolitudeHistoryPsychicRomanceArtArt historyLiteratureSociologyAncient historyCriminologyArchaeology

Abstract

fetched live from OpenAlex

Ellen Ross (1816?–1892) emigrated from Scotland to Montreal at mid-century and wrote two Gothic novels, in one of which – Violet Keith, An Autobiography (1868) – she used the Canadian setting as a fantastic Gothic locale in which to explore areas of social and sexual transgression. Drawing on earlier traditions of European Gothic, including Sir Walter Scott’s mythologized Scottish landscape, and on an emerging North American genre of convent exposes, Ross’s writing accommodates female protest, distances it from reality and allows its dissipation in conventional denouements. If female Gothic can be read as an analogue of realistic women’s problems, then perhaps this analogy can be extended to encompass emigration and immigrant life. The paper analyzes Ross’s motifs of loss, imprisonment, solitude, surveillance and deliverance and considers the possibility that Gothic motifs in her work both conceal and express features of the immigrant’s psychic battle with the transition to the New World.

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)0.001
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: Empirical
Teacher disagreement score0.438
Threshold uncertainty score0.872

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0090.006
Scholarly communication0.0040.001
Open science0.0000.002
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 head0.004
GPT teacher head0.261
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 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

Citations1
Published2006
Admission routes1
Has abstractyes

Explore more

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