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Record W2045551598 · doi:10.25336/p6zs5h

Marriage and Cohabitation: Demographic and Socioeconomic Differences in Quebec and Canada

2006· article· en· W2045551598 on OpenAlexaffvenueabout
Don Kerr, Melissa Moyser, Roderic Beaujot

Bibliographic record

VenueCanadian Studies in Population · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicFamily Dynamics and Relationships
Canadian institutionsUniversity of TorontoThe King's UniversityWestern University
Fundersnot available
KeywordsCohabitationSocioeconomic statusCensusContext (archaeology)Demographic economicsPovertyMarital statusPolitical scienceGeographyEconomic growthDemographySociologyDevelopment economicsPopulationEconomicsLaw

Abstract

fetched live from OpenAlex

Cohabitation has become so prevalent in Canada that it is now the most common mode of entry into conjugality. Yet in drawing comparisons across Canadian provinces, cohabitation is far more prevalent in the province of Quebec than elsewhere. With this in mind, the purpose of the current paper is three fold. First, we set out to briefly situate the recent growth in the number of common-law unions in Canada and Quebec into a broader historical and international context. Secondly, we review available information from the 2001 Census and the 1998 General Social Survey on some of the key socioeconomic and demographic characteristics of persons who cohabit relative to those that marry. Thirdly, we consider how these changes are important to public policy, and of direct interest to legislators and the Canadian legal system. Major differences are documented in comparing Quebec with elsewhere in Canada in terms of the education, labor force participation, median income, income poverty and homeownership. The differences documented between persons who marry relative to cohabiters are found to be much less in Quebec than elsewhere, in a context whereby cohabitation has become far more widespread, an observation with direct implications for public policy.

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 score0.034
Threshold uncertainty score0.250

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.007
Science and technology studies0.0060.001
Scholarly communication0.0020.001
Open science0.0010.001
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 head0.021
GPT teacher head0.258
Teacher spread0.237 · 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

Citations58
Published2006
Admission routes3
Has abstractyes

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