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Record W3112118797 · doi:10.1017/s1474746420000627

The Management of Retirement Savings Among Financially Heterogamous Couples

2020· article· en· W3112118797 on OpenAlexaffabout
Maude Pugliese, Hélène Belleau

Bibliographic record

VenueSocial Policy and Society · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicIntergenerational Family Dynamics and Caregiving
Canadian institutionsInstitut National de la Recherche Scientifique
Fundersnot available
KeywordsSpouseEconomicsDemographic economicsVulnerability (computing)Retirement ageDuration (music)Population ageingHealth and Retirement StudySavings accountBalance (ability)PopulationLabour economicsFinancePensionSociologyDemographyPsychology

Abstract

fetched live from OpenAlex

Retirement scholars (and policy makers) have traditionally assumed spouses share their retirement savings, even when they are financially heterogamous and their individual saving capacities diverge. Recent research, however, has challenged this assumption, emphasising that wealth is unequally distributed within couples. In this study, we contribute to this debate by exploring how often financially heterogamous spouses describe their management of retirement savings as joint and redistributive. Data collected in Québec (Canada) in 2015 show that 28 per cent of couples with an income differential report to balance retirement savings across partners. Building on exchange and institutional theories of conjugal behaviour, we also stress that the prevalence of this practice varies with several factors, including union duration and matrimonial status. These findings suggest policy makers underestimate the size of the population at risk of old age financial vulnerability when assuming lower-income individuals are well prepared for retirement if partnered with a better-off spouse who saves.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.865
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
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 head0.018
GPT teacher head0.288
Teacher spread0.270 · 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.

Study designTheoretical or conceptual
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

Citations13
Published2020
Admission routes2
Has abstractyes

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