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Record W2156497689 · doi:10.1017/s0020859005002087

Pyrenean Marriage Strategies in the Nineteenth Century: The French Basque Case

2005· article· en· W2156497689 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

VenueInternational Review of Social History · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicHistorical Gender and Feminism Studies
Canadian institutionsMusée de la Civilisation
Fundersnot available
KeywordsEmigrationIndustrialisationUrbanizationInheritance (genetic algorithm)PopulationGeographySocioeconomicsDemographic economicsEconomic growthSociologyPolitical scienceDemographyGender studiesEconomicsLaw

Abstract

fetched live from OpenAlex

Marriage strategies in the rural Basque country of the nineteenth century differed according to social background and gender. Propertied families had more diversified strategies than landless families as a result of persistent single inheritance practices, population growth, urbanization, and industrialization which generated massive emigration. Propertied families helped some of their children to settle in local rural villages and others to emigrate to cities (women) or to America (men). Landless families, by contrast, continued to settle most of their children in local rural villages, others emigrating to America only later in the century, avoiding the cities at all cost. Men, no matter their social background, benefited the most from new economic opportunities because most of them married into families of equal or higher status. Women, by contrast, did not have equal opportunities because few married upward and outside their professional group. When women did not marry within their socio-professional group or remain single, they married into families of lower status (more often than men).

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)0.001
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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.967
Threshold uncertainty score0.891

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.038
GPT teacher head0.335
Teacher spread0.298 · 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