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Record W1850596157 · doi:10.25336/p6789b

The Other Partner: The Changing Role of Good Provider for Men’s Union Formation in Industrialized Countries

2006· article· en· W1850596157 on OpenAlexaffvenueabout
Frances Goldscheider, Dennis P. Hogan, Pierre Turcotte

Bibliographic record

VenueCanadian Studies in Population · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicFamily Dynamics and Relationships
Canadian institutionsStatistics Canada
FundersBrown UniversityNational Science Foundation
KeywordsCohabitationDeveloped countryDemographic economicsNational Survey of Family GrowthDemographySurvey data collectionWestern europeSociologyPolitical scienceGender studiesEconomicsEuropean unionPopulationResearch methodologyFamily planningLawInternational economics

Abstract

fetched live from OpenAlex

Most studies of union formation behaviors have focused on women and children, with less emphasis on men. Using comparable retrospective survey data, this study looks at the ways Canadian, Italian and Swedish men begin conjugal life (distinguishing between marriage and cohabitation) and at how the effects of their good provider status qualifications have changed in the last 30 years. Results for Canadian men have shown that the simple patterns that have been assumed to shape separate and symmetrical roles for men and women are taking new shapes with the growth in cohabitation and changes in women's economic roles. Our study will extend these results to examine two countries at very different levels of cohabitation prevalence: Italy, where the growth in cohabitation has just begun, and Sweden, where it has been underway much longer than in Canada. Our results show strongly parallel changes underway in each country, indicating that it is important to continue to compare, both between countries and over time, if we are to understand the situations fostering (or not) changing gender roles for men as good providers.

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)0.002
metaresearch head score (Gemma)0.004
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 score0.357
Threshold uncertainty score0.718

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.002
Scholarly communication0.0030.001
Open science0.0010.002
Research integrity0.0010.001
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 head0.048
GPT teacher head0.324
Teacher spread0.275 · 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

Citations10
Published2006
Admission routes3
Has abstractyes

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