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Record W7105853399 · doi:10.3828/shandean.2025.4

Sarah Scott’s and Lady Barbara Montagu’s Letters to George Aust

2025· article· en· W7105853399 on OpenAlexaff

Bibliographic record

VenueThe Shandean. · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicLiterature: history, themes, analysis
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsGeorge (robot)GenerosityScholarshipPublishingCivil servantServant

Abstract

fetched live from OpenAlex

Forty-three previously unpublished letters from the novelist Sarah Scott and Lady Barbara Montagu to George Aust, a civil servant who benefited from their generosity and mentorship, are introduced, transcribed, and annotated. The letters expand Scott’s known correspondence and provide new insights into the life of Scott and Lady Bab at the social, cultural, and economic peripheries, their commitment to charitable action, and Scott’s literary and publishing activities after the success of A Description of Millenium Hall (1762). The introduction features an account of Aust’s life and career, describing his relationships with Scott, Lady Bab, and other figures from the Bath and Batheaston communities. It solidifies scholarship on the proto-feminist projects of social reform in which Scott and Lady Bab engaged, demonstrating how Scott’s activities as a professional writer contributed to their benevolent practices and Christian sociability. The introduction also broaches the economics and logistics of eighteenth-century authorship and literary production, exploring the close attention and expertise that women writers brought to their publications and the print marketplace.

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)0.007
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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.013
Threshold uncertainty score0.043

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.004
Scholarly communication0.0040.002
Open science0.0000.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0130.003

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 head0.012
GPT teacher head0.211
Teacher spread0.199 · 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
GenreOther

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
Published2025
Admission routes1
Has abstractyes

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