MétaCan
Menu
Back to cohort
Record W2586389787 · doi:10.25336/p66590

Type and timing of first union formation in Québec and the rest of Canada: Continuity and change across the 1930–79 birth cohorts

2017· article· fr· W2586389787 on OpenAlexafffundvenueabout
Laura Wright

Bibliographic record

VenueCanadian Studies in Population · 2017
Typearticle
Languagefr
FieldSocial Sciences
TopicFamily Dynamics and Relationships
Canadian institutionsUniversity of Saskatchewan
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsHumanitiesDemographyPolitical scienceGeographyEthnologySociologyArt

Abstract

fetched live from OpenAlex

Trends in age at marriage have been well documented, but less is known about age at first union among recent cohorts of Canadians. Using the 2011 GSS, I document changes in the type and timing of first union formation among Canadians born over five decades, and examine how regional differences in partnering behaviours have changed over time. The trend away from entering marriage directly has continued among Canadians born in the 1970s, but Québec-Canada differences have narrowed. The trend towards later marriage has continued, but age at first union has not changed across the five cohorts under study.Les tendances en ce qui a trait à l’âge au mariage ont été bien documentées, mais moins est connu quant à l’âge à la première union chez les dernières cohortes de Canadiens. À partir de données provenant de l’ESG de 2011, je documente les changements au niveau du type et du moment de la formation de premières unions auprès de Canadiens nés au cours de cinq décennies et j’examine en quelle mesure les différences régionales quant aux comportements liés au partenariat ont changé au fil du temps. La tendance à délaisser l’entrée directe au mariage a continué chez les Canadiens nés dans les années 1970, mais l’écart Québec-Canada a diminué. La tendance vers le mariage plus tardif a continué, mais l’âge à la première union n’a pas changé à travers les cinq cohortes à l’étude.

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 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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.056
Threshold uncertainty score0.886

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
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 head0.083
GPT teacher head0.323
Teacher spread0.240 · 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 teacher head, 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

Citations6
Published2017
Admission routes4
Has abstractyes

Explore more

Same venueCanadian Studies in PopulationSame topicFamily Dynamics and RelationshipsFrench-language works237,207