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Record W4387305820 · doi:10.5117/9789463725750_ch05

Domestic Violence and Networks of Female Support in Seventeenth-Century England

2023· book-chapter· en· W4387305820 on OpenAlexaff
Marlee J. Couling

Bibliographic record

VenueAmsterdam University Press eBooks · 2023
Typebook-chapter
Languageen
FieldEconomics, Econometrics and Finance
TopicHistorical Economic and Social Studies
Canadian institutionsYork University
Fundersnot available
KeywordsGossipEliteMoralityIntervention (counseling)Domestic violenceGender studiesCriminologyPolitical scienceSociologyHistoryPsychologyLawSuicide preventionPoison controlMedicinePolitics

Abstract

fetched live from OpenAlex

Using judicial records, particularly depositions by non-elite women, this article examines the vital role of female kin and neighbors in defending and supporting abused and neglected wives in early modern England. These networks depended on popular understandings and uses of the law as well as plebeian women’s authority to regulate their communities, especially in matters relating to the domestic sphere, morality, and other women. Women worked to support their allies both through verbal means such as gossip, shaming, and depositions, and material ones, including physical intervention and the provision of food and temporary or longer-term shelter. This essay further demonstrates that emotions, as well as self-interest, motivated female kin and neighbors in their efforts to contain spousal violence.

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)0.002
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: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.067
Threshold uncertainty score0.132

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.005
Scholarly communication0.0040.002
Open science0.0000.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.029
GPT teacher head0.193
Teacher spread0.164 · 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
Published2023
Admission routes1
Has abstractyes

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