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Record W2770251687 · doi:10.18178/ijlll.2016.2.4.93

Taxonomies of Desire in Sarah Waters’s Fingersmith and P. J. Parker’s Roxelana & Suleyman

2016· article· en· W2770251687 on OpenAlexaff
Maryna Romanets

Bibliographic record

VenueInternational Journal of Languages Literature and Linguistics · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicThemes in Literature Analysis
Canadian institutionsUniversity of SaskatchewanUniversity of Northern British Columbia
Fundersnot available
KeywordsOceanographyGeology

Abstract

fetched live from OpenAlex

This paper is a comparative cross-gender inquiry into representations of sexuality in Sarah Waters's Fingersmith and P. J. Parker's Roxelana & Suleyman, since the body, as a constitutive part of social identity and a main site for the economy of pleasure and desire, is simultaneously inscribed in the economy of discourse, domination, and power.While both authors, in representing same-sex desire, borrow from a sizeable storehouse of Victorian literature by employing plots and themes from the sensation novel, the Gothic mode, melodrama, mystery fiction, romance, and pornography, within the framework of historical narrative, they diverge considerably in their textual strategies.Parker draws on the erotic charge of Orientalist fantasies, adopting them as s trans-historical constant, whereas Waters explores sexuality and its articulations by re-imagining the nineteenth century and representing the diverse investments of contemporaneity in historical rememoration, revision, and reconstruction.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.018
Scholarly communication0.0040.006
Open science0.0000.003
Research integrity0.0010.002
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 head0.014
GPT teacher head0.258
Teacher spread0.243 · 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 designTheoretical or conceptual
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
Published2016
Admission routes1
Has abstractyes

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Same venueInternational Journal of Languages Literature and LinguisticsSame topicThemes in Literature AnalysisFrench-language works237,207