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Record W2595336389 · doi:10.3138/jcfs.40.3.355

One Pot or Two Pot Strategies? Income Pooling in Married and Unmarried Households in Comparative Perspective

2009· article· en· W2595336389 on OpenAlexaffvenue
Dana Hamplová, Céline Le Bourdais

Bibliographic record

VenueJournal of Comparative Family Studies · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicGender, Labor, and Family Dynamics
Canadian institutionsMcGill University
Fundersnot available
KeywordsCohabitationPoolingInstitutionalisationDemographic economicsMarital statusEconomicsPerspective (graphical)WelfareEconomic growthSociologyPopulationGeographyPolitical scienceDemography

Abstract

fetched live from OpenAlex

This paper investigates money management practices in private households. It compares married and cohabiting couples across four countries with different levels of institutionalization of cohabitation and different welfare regimes (Denmark, Spain, France, and the United States). Using data from the International Social Survey Program 2002 module on Changing Family Roles (ISSP 2002), this study shows that the legal status of the union is one of the strongest predictors of the money pooling practices in all four countries. Cohabitors tend to choose independent money management more often than married couples and this finding holds even after controlling for a range of socio-economic and attitudinal characteristics. Moreover, the effect of the union type is rather uniform across these four countries despite their institutional differences.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.007
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.150
GPT teacher head0.419
Teacher spread0.269 · 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 designObservational
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

Citations80
Published2009
Admission routes2
Has abstractyes

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