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Record W2299019041 · doi:10.1111/jomf.12286

The Changing Demography of Grandparenthood

2016· article· en· W2299019041 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Marriage and the Family · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicIntergenerational Family Dynamics and Caregiving
Canadian institutionsWestern University
Fundersnot available
KeywordsGrandparentChildlessnessPostponementFertilityDemographyAffect (linguistics)PopulationTotal fertility ratePsychologyGerontologyDevelopmental psychologyResearch methodologyMedicineSociologyFamily planningEconomics

Abstract

fetched live from OpenAlex

Demographic changes affect the time that individuals spend in different family roles. Mortality decline increases the time an individual can spend as a grandparent, but childlessness decreases the proportion of people who ever become grandparents, and fertility postponement delays when grandparenthood begins. This article examines changes in the length of grandparenthood at the population level and why it has changed in Canada over a 26‐year period. Using the Sullivan method, years spent as a grandparent are estimated by sex for 1985 and 2011. Results show that grandparenthood is coming significantly later to Canadians, in small part due to increased childlessness and in large part to fertility postponement of respondents and their children. The average length of grandparenthood decreased among women from 24.7 to 24.3 years but increased among men from 17.0 to 18.9 years. The changing timing and length of grandparenthood have implications for multigenerational relationships and intergenerational transfers.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.449
Threshold uncertainty score0.368

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.007
GPT teacher head0.242
Teacher spread0.236 · 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