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Record W2011414488 · doi:10.1017/s0956793302000109

Rural Women and Urban Extravagance in Late Nineteenth-Century Britain

2002· article· en· W2011414488 on OpenAlexafffund
Janice Helland

Bibliographic record

VenueRural History · 2002
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Art and Culture Studies
Canadian institutionsQueen's University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsExhibitionCeltic languagesEmigrationIrishPovertyMobilitiesConsumption (sociology)Gender studiesHistorySociologyPolitical scienceArt historySocial scienceAncient historyLawArchaeology

Abstract

fetched live from OpenAlex

This essay discusses two exhibitions that romanticised the rural Celtic fringes of Britain for consumption in London, the ‘metropolis of the world’. Alice Hart's reconstructed Donegal Village at the Irish Exhibition (1888), organised under the auspices of the Donegal Industrial Fund, assuaged the reality of poverty in the Congested Districts; the Duchess of Sutherland's faux Highland cottage at the Victorian Era Exhibition (1897), organised by Scottish Home Industries, suggested hunting, fishing and scenic views rather than land reform and emigration. While the differences between the organisations inform the parts they played in exhibitions, they clearly and precisely converge in one respect: both advertised, glorified and sold the rural when existence in Donegal and in the Highlands was financially precarious and disappearing. They also share another characteristic: the female patrons, their associations and the female workers have ironically disappeared from historical writings while still visible are the colonised representations of exhibitions in which they participated. This essay seeks to recollect the historical moment at which the two associations flourished, examine how each group performed its self-appointed task and analyse their places as urban enthusiasts of the rural experience.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.102
Threshold uncertainty score0.204

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 studies0.0120.017
Scholarly communication0.0060.001
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.000

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 head0.015
GPT teacher head0.168
Teacher spread0.153 · 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 designQualitative
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

Citations8
Published2002
Admission routes2
Has abstractyes

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