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Record W2105385932 · doi:10.1017/s026841600400493x

Introduction: Women, property and legal change

2004· article· en· W2105385932 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueContinuity and Change · 2004
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHistorical and socio-economic studies of Spain and related regions
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsIngenuityVariety (cybernetics)Property (philosophy)Inheritance (genetic algorithm)Meaning (existential)Context (archaeology)Law and economicsProperty rightsCultural propertySociologyDistribution (mathematics)Political scienceLawEpistemologyEconomicsGeographyNeoclassical economicsCultural heritage

Abstract

fetched live from OpenAlex

The distribution of property in any community reflects a variety of cultural, economic and social influences including, not least, a legal framework that defines property and the rights to use and transfer it. Legal change, in turn, has the capacity to reshape distribution and the complex matrix of culture, society and economy that surrounds access to property. The articles that have been brought together for this special issue of Continuity and Change document and analyse the gendered patterns of ownership in a variety of times and places. Each of the contributors has encountered some difficulty in determining the relevant legal framework, the extent to which laws were enforced, who owned what, patterns of inheritance and the meaning of ownership itself. The authors respond by examining a range of sources with imagination, ingenuity and methodologies that originate in different disciplines. The precise shape of the research of course depends on the circumstances of the particular historical context.

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.

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)0.000
metaresearch head score (Gemma)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.965
Threshold uncertainty score0.399

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.044
GPT teacher head0.197
Teacher spread0.152 · 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