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Record W2602551555 · doi:10.3167/hrrh.2017.430108

Widowhood and Economic Difficulties in Medieval Barcelona

2017· article· en· W2602551555 on OpenAlexvenueno aff
Mireia Comas

Bibliographic record

VenueHistorical Reflections/Réflexions Historiques · 2017
Typearticle
Languageen
FieldArts and Humanities
TopicMedieval and Early Modern Iberia
Canadian institutionsnot available
Fundersnot available
KeywordsPovertyFifteenthSociologyHistoryEconomic growthEconomicsAncient history

Abstract

fetched live from OpenAlex

The social status of married women clearly changed when their husbands died. If we focus on the difficulties that widowhood entailed for women in Barcelona in the fourteenth and fifteenth centuries, we must include an analysis of their economic situation. The threat of poverty was constant, and in most cases, widows found it difficult to survive. It must be said that this direct link between poverty and widowhood existed only in the case of women: widowers were not similarly embattled. In other words, this was a sort of gendered poverty, because it was their status as “women without a man” that relegated widows to the social condition of the poor. Depending on their economic and social realities, the ways in which widows faced the inherent problems of widowhood and their ability to solve them were completely different.

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)0.001
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.065
Threshold uncertainty score0.129

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.005
Scholarly communication0.0030.001
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.065
GPT teacher head0.292
Teacher spread0.228 · 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
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
Published2017
Admission routes1
Has abstractyes

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