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Record W3118363144 · doi:10.1080/03623319.2020.1851560

Concentration and dispersion: school-to-work linkages and their impact on occupational assortative mating

2021· article· en· W3118363144 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

VenueThe Social Science Journal · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicWork-Family Balance Challenges
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsAssortative matingSpouseVocational educationWork (physics)Demographic economicsMatingOccupational segregationSociologyPsychologyDemographyLabour economicsEconomicsEconomic growthEngineeringPopulation

Abstract

fetched live from OpenAlex

More people now are delaying marriage until after they have entered the labor market. Occupation has therefore become increasingly important in providing opportunities for meeting potential spouses. By bringing the school-to-work linkage literature into assortative mating research, this study illuminates the important roles of field of study and school-to-work linkages in shaping occupational homogamy among college graduates. We analyze 41,220 college-educated newly-wed men and women from the 2009–2018 American Community Surveys. Multilevel logistic regressions show that occupational homogamy is more likely to occur among college-graduated men and women if they share the same vocational-specific field of study as their spouse. The results suggest that vocational-specific fields of study that channel college graduates into a targeted set of occupations increase the likelihood of occupational homogamy. This study underlines the importance of the heterogeneous school-to-work linkages in shaping occupational marriage markets, assortative mating outcomes, and the contours of social closure in society.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.360
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0040.001
Scholarly communication0.0010.000
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 head0.033
GPT teacher head0.365
Teacher spread0.332 · 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