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Record W2564248326 · doi:10.1093/ehr/cew319

Women, Work and Sociability in Early Modern London, by Tim Reinke-Williams

2016· article· en· W2564248326 on OpenAlexaff
Cynthia Neal Spence

Bibliographic record

VenueThe English Historical Review · 2016
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHistorical Economic and Social Studies
Canadian institutionsDalhousie University
Fundersnot available
KeywordsReputationBalladVariety (cybernetics)SociologyGender studiesHistoryMedia studiesLawLiteratureSocial sciencePolitical scienceArtPoetry

Abstract

fetched live from OpenAlex

The lives of the labouring poor and middling sort—and particularly those of the women of these classes—are notoriously difficult for historians of the early modern period to uncover. In his book, Tim Reinke-Williams acknowledges this, but does not allow it to deter him from producing a thorough and engaging study that outlines ‘how women of the middling sort and labouring poor in sixteenth- and seventeenth-century London could acquire credit and gain honest reputations through their work and sociability’ (p. 1). In this, Reinke-Williams engages with recent debates over whether the reputations of early modern women were formed based on sexual reputation (as scholars such as Laura Gowing and Keith Thomas have argued), or whether their reputations were judged on a broader range of criteria. Using a wide variety of sources, including court records, conduct books, ballads, diaries and plays, Reinke-Williams explores how women from the lower and middle ranks of London society were treated as a result of their behaviours between 1550 and 1700. The discussion such an approach allows is wide ranging, and this is reflected in the chapters that make up the book, which explore paid and unpaid work and the many social activities that could contribute to a woman’s reputation.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation 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: Review · Consensus signal: none
Teacher disagreement score0.646
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.028
GPT teacher head0.205
Teacher spread0.178 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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
Published2016
Admission routes1
Has abstractyes

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