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Record W2051437526 · doi:10.3138/ecf.26.3.427

Empire, Race, and the Debate over the Indian Marriage Market in Elizabeth Hamilton’s <i>Memoirs of Modern Philosophers</i> (1800)

2014· article· en· W2051437526 on OpenAlexvenueno aff
John C. Leffel

Bibliographic record

VenueEighteenth-Century Fiction · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicAmerican Constitutional Law and Politics
Canadian institutionsnot available
Fundersnot available
KeywordsMemoirEmpireEmigrationPoliticsFace (sociological concept)Gender studiesColonialismMarriage marketRace (biology)SociologyHistoryAncient historyPolitical scienceLawSocial scienceArt history

Abstract

fetched live from OpenAlex

In the late eighteenth century, East India Company stations were characterized as marriage “bazaars” in which English-women were traded like any other merchandise. Women at the centre of such trafficking were depicted as complicit in their own commodification. In the face of such pervasive negative stereotyping, women returning to Britain after time spent on the subcontinent often found themselves ridiculed and shunned. In this article, I explore how author Elizabeth Hamilton (1758–1816) responded to this potent imperial stigma. She absorbed and perpetuated popular negative stereotypes regarding these matrimonial “speculators” in her own writing, but in her second novel, Memoirs of Modern Philosophers (1800), she subtly recalibrated her stance, in ways that illuminate the changing tenor of Anglo-Indian social, political, and sexual relations. By the turn of the nineteenth century, burgeoning discourses of racial difference and the perceived threat of sexual “miscegenation” in the empire became thoroughly entwined with debates regarding the “Indian marriage market” and female emigration.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.963
Threshold uncertainty score0.586

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.009
GPT teacher head0.246
Teacher spread0.237 · 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 teacher head, 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

Citations3
Published2014
Admission routes1
Has abstractyes

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