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Record W1539931532 · doi:10.29173/cjs551

The Changing Role of Education in the Marriage Market:Assortative Marriage in Canada and the United States since the 1970s

2008· article· en· W1539931532 on OpenAlexaffvenueabout
Feng Hou, John Myles

Bibliographic record

VenueThe Canadian Journal of Sociology · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicFamily Dynamics and Relationships
Canadian institutionsUniversity of TorontoStatistics Canada
Fundersnot available
KeywordsMarriage marketAssortative matingCensusDemographic economicsMarital statusDistribution (mathematics)DemographyHierarchyPolitical scienceGeographySociologyEconomicsPopulation

Abstract

fetched live from OpenAlex

Whether or not relative rates of assortative marriage have been rising in the affluent democracies has been subject to considerable dispute. First, we show how the conflicting empirical findings that have fueled the debate are frequently an artifact of alternative methodological strategies for answering the question. Then, drawing on comparable census data for Canada and the United States, we examine trends in educational homogamy and intermarriage with log-linear models for all marriages among young adults under 35 over three decades. Our results show that educational homogamy, the tendency of like to marry like, has unambiguously risen in both countries since the 1970s. Rising levels of marital homogamy were the result of declining intermarriage at both ends of the educational distribution.

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)0.007
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 score0.041
Threshold uncertainty score0.297

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.007
Science and technology studies0.0060.004
Scholarly communication0.0030.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.012
GPT teacher head0.244
Teacher spread0.232 · 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

Citations19
Published2008
Admission routes3
Has abstractyes

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