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Record W2600045275 · doi:10.3138/jcfs.38.4.511

Intergenerational Assistance and Parental Marital Status in the US and Australia

2007· article· en· W2600045275 on OpenAlexvenueno aff
Sandra J. Rezac

Bibliographic record

VenueJournal of Comparative Family Studies · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicIntergenerational Family Dynamics and Caregiving
Canadian institutionsnot available
Fundersnot available
KeywordsOffspringGovernment (linguistics)DemographyMarital statusPsychologyPopulationSociologyBiologyPregnancy

Abstract

fetched live from OpenAlex

The likelihood of assistance being exchanged between adult offspring (aged 27 to 44) and their parents is examined in the United States and Australia. Of particular concern is the role of parental marital status in exchanges ofassistance. Secondary analysis was conducted using data from the Australian Family Formation Project, Stage 2 (AFFP2) and the USA-based National Survey of Families and Households (NSFH). Questions were asked ofthe offspring, concerning the amount of financial, social/emotional, and instrumental help they give to or receive from their parents. The findings indicate that divorce has similar roles in intergenerational exchanges in Australia and in the USA, with offspring from divorced families reporting receiving less help from their parents than those from continuously married families. Offspring in both countries generally report exchanging less assistance with widowed fathers than continuously married parents. This highlights the importance ofwomen in keeping ties with the extended family. Australian offspring appear to be more likely than American offspring to give help (particularly instrumental help) to widowed mothers. This greater assistance from offspring, combined with greater support from the government, may indicate that widowed mothers in Australia are receiving greater assistance than similar mothers in the USA. Overall the similarities in these western post-industrial societies seem to outweigh the differences in divorce rates and government programs and result in largely similar patterns of intergenerational helping.

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)0.005
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 score0.083
Threshold uncertainty score0.166

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.086
GPT teacher head0.404
Teacher spread0.318 · 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

Citations2
Published2007
Admission routes1
Has abstractyes

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