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Widowhood

2012· reference-entry· en· W4253278569 on OpenAlexvenueno aff
Ann Crabb

Bibliographic record

VenueRenaissance and Reformation · 2012
Typereference-entry
Languageen
FieldEconomics, Econometrics and Finance
TopicHistorical Economic and Social Studies
Canadian institutionsnot available
Fundersnot available
KeywordsRemarriageAutonomyPovertyNegotiationThe artsGender studiesSociologyPsychologyPolitical scienceSocial scienceLawAnthropology

Abstract

fetched live from OpenAlex

The history of widows is part of the history of women. It was also a distinctive phase of female experience in the Renaissance and Reformation periods, and the related late medieval and early modern periods. Widowhood was both the time of the greatest potential autonomy for women and a time of limits on this autonomy, of public suspicion, and often of poverty. Relevant themes include widows’ experience in particular countries, attitudes to widows and widowhood, mourning practices, remarriage, the experience of widows at different social levels, widows and religion, and widows and the arts. Suspicion of widows was universal, not needing to be divided by country, but the methods widows used to negotiate around restrictive attitudes will be dealt with by country. Some of the authors mentioned in this bibliography try to present data on widows in a neutral fashion, but most come down on one side or another: the positive side, that is, that widowhood presented opportunities for action, in spite of limitations, or the negative side, emphasizing the problems it brought,

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)0.003
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: Other
Teacher disagreement score0.034
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0030.001
Scholarly communication0.0020.002
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0340.004

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 head0.040
GPT teacher head0.223
Teacher spread0.183 · 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
Published2012
Admission routes1
Has abstractyes

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