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Record W4285118527 · doi:10.1007/978-3-030-95508-3_9

Trans-National Neo-Victorianism, Gender and Vulnerability in Kate Grenville’s The Secret River (2005)

2022· book-chapter· en· W4285118527 on OpenAlexaboutno aff
Maria Isabel Romero-Ruiz

Bibliographic record

VenueThinking gender in transnational times · 2022
Typebook-chapter
Languageen
FieldArts and Humanities
TopicPostcolonial and Cultural Literary Studies
Canadian institutionsnot available
FundersMinisterio de Ciencia, Innovación y Universidades
KeywordsVulnerability (computing)CivilizationEmpireIndigenousMetisGender studiesNational identityHistoryIdentity (music)GenealogyNarrativeBritish EmpireTrope (literature)GeographyEthnologySociologyPolitical scienceAncient historyLawArchaeologyArtAestheticsLiteraturePolitics

Abstract

fetched live from OpenAlex

Abstract The British Empire has become a new trope in neo-Victorian studies, incorporating a postcolonial trans-national approach to the re-writing of the Victorian past. Kate Grenville’s novel The Secret River is set in Australia in the early nineteenth century when issues of transportation and colonisation coalesce with the fight for survival under precarious conditions. The Secret River is the story of the confrontation between colonisers and colonised people in terms of gender and vulnerability. This chapter analyses the role of Empire in the construction of a British identity associated with civilisation and that of the native population. Following Judith Butler’s theories, my discussion is organised around two main topics: Australian history and narratives of recollection, and gender identity and vulnerability both in white settlers and indigenous communities. My contention is that both sides became involved in a relationship of mutual vulnerability.

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: none
Teacher disagreement score0.199
Threshold uncertainty score0.395

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 studies0.0150.018
Scholarly communication0.0070.003
Open science0.0010.004
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0040.000

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 head0.053
GPT teacher head0.240
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
Published2022
Admission routes1
Has abstractyes

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