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Record W2077659738 · doi:10.1080/13545701.2012.737007

Occupational, Marital, and Life-Cycle Determinants of Women's Labor Force Participation in Mid Nineteenth-Century Rural France

2012· article· en· W2077659738 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

VenueFeminist Economics · 2012
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHistorical Economic and Social Studies
Canadian institutionsMcGill University
Fundersnot available
KeywordsCensusProductivityPovertyPopulationMarital statusDemographic economicsGeographyHistorical demographyDemographyEconomicsEconomic growthSociologyDeveloped country

Abstract

fetched live from OpenAlex

Abstract The French population census of 1851 is unique among France's nineteenth- and early twentieth-century censuses, as it is the only census to provide information on the market-oriented work of women and children within and outside the home. This study utilizes that information to analyze the demographic, structural, and economic determinants of women's labor force participation in a sample of rural communes in northern France. The data reveal an industrious population in which two-thirds to three-quarters of women in farm families engaged in market-oriented work. The data suggest that women were pushed rather than pulled into the rural labor force, and that poverty was the primary factor driving rural women's participation. The census data throw statistical light on the labor market participation rates of women and children in a preindustrial setting and are likely to produce major revisions in understandings of productivity growth in late nineteenth- and early twentieth-century France.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.047
Threshold uncertainty score0.820

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.021
GPT teacher head0.247
Teacher spread0.226 · 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