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Record W2006839619 · doi:10.7202/030980ar

Rational Creatures and Free Citizens: The Language of Politics in the Eighteenth‑Century Debate on Women

2006· article· en· W2006839619 on OpenAlexvenueno aff
Susan E. Brown

Bibliographic record

VenueHistorical Papers · 2006
Typearticle
Languageen
FieldArts and Humanities
TopicReligion, Gender, and Enlightenment
Canadian institutionsnot available
Fundersnot available
KeywordsObediencePoliticsVirtueRationalityDutyOppressionSociologyVisionLawGender studiesIdeal (ethics)Political science

Abstract

fetched live from OpenAlex

This paper examines the intersection between the debate on women and the wider political debates of late eighteenth-century England. During this period the meaning of concepts such as liberty, equality, and rights was contested not only with regard to political relationships among men, but also as they applied to civil and domestic relationships between men and women. The language of politics encouraged the definition of women's oppression in terms of the unrepresentative nature of authority exercised by men. The values of rationality, equality, and independence espoused by radicals in the debate on women were part of a larger conception of virtue, which carried with it political as well as moral implications. These political implications came to the fore in the conservative response. Conservatives' ideas on women were part of a larger vision of social and political order in which duty, obedience, and dependence operated as the unifying principles. Within this framework, radical proposals for a more egalitarian family structure were viewed as a potential threat to political order. At the heart of this debate lay not only a dispute regarding the condition of women, but also a struggle between two conflicting visions of the ideal society.

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)0.008
metaresearch head score (Gemma)0.006
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.017
Threshold uncertainty score0.086

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0130.054
Scholarly communication0.0130.009
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 head0.012
GPT teacher head0.197
Teacher spread0.185 · 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

Citations3
Published2006
Admission routes1
Has abstractyes

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