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Record W4377943109 · doi:10.1111/phc3.12933

Women and Stoic ethics in early modern England

2023· article· en· W4377943109 on OpenAlexfundno aff
Jacqueline Broad, Diana G. Barnes

Bibliographic record

VenuePhilosophy Compass · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicReligion, Gender, and Enlightenment
Canadian institutionsnot available
FundersAustralian Research CouncilSocial Sciences and Humanities Research Council of Canada
KeywordsPassionsFeelingNarrativeAffectionIdeal (ethics)Field (mathematics)SociologyPeriod (music)PoetryPsychologyAestheticsEpistemologySocial psychologyPhilosophyLiteratureArt

Abstract

fetched live from OpenAlex

Abstract This paper provides an overview of women's engagement with Stoic ethics in early modern England (c. 1600–1700). It builds on recent literature in the field by demonstrating that there is a positive gender‐inclusive narrative to be told about Stoic philosophy in this time—one that incorporates women's specific concerns and responds to women's lived experiences. To support this claim, we take an interdisciplinary approach and examine several different genres of women's writing in the period, including letters, poems, plays, educational texts, and moral essays. In these writings, we argue, a distinctive conception of Stoic therapy emerges. Women embrace well‐known aspects of the Stoic philosophy—such as living in agreement with nature, the importance of self‐government, and the ideal of freedom from the passions—but they also allow room for the cultivation of eupatheiai or life‐affirmative feelings, such as feelings of respect, affection, and good will toward other people.

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)0.004
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.028
Threshold uncertainty score0.113

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0140.029
Scholarly communication0.0070.004
Open science0.0010.007
Research integrity0.0020.004
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 head0.114
GPT teacher head0.270
Teacher spread0.156 · 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 designTheoretical or conceptual
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

Citations1
Published2023
Admission routes1
Has abstractyes

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