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Record W2084556609 · doi:10.1177/0164027505285919

Changing Demographics and New Pension Risks

2006· article· en· W2084556609 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

VenueResearch on Aging · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicRetirement, Disability, and Employment
Canadian institutionsWestern University
Fundersnot available
KeywordsPensionEarningsDemographic economicsDemographicsMarital statusCashPosition (finance)BusinessEconomicsActuarial scienceLabour economicsDemographyPopulationFinanceMedicineEnvironmental health

Abstract

fetched live from OpenAlex

This study used longitudinal data from the Panel Study of Income Dynamics to examine the hazards of pension saving associated with variations in household arrangements among two cohorts of older workers. Results from multivariate models predicting pension participation, plan type, and pension cash-out highlight that under the defined-contribution plans characteristic of the new pension environment, women continue to bear greater risks associated with family position and lower workplace earnings. Unmarried women were the most likely to be without any type of pension. High rates of divorce among recent cohorts coincide with the spread of individualized pensions and raise additional concerns about women's pension-related income security. Women are vulnerable to income and savings losses in response to marital dissolution, and findings provide evidence that these women are at greater risk of benefit loss due to pension cash-out. The results suggest that these risks may be even greater for younger cohorts of workers.

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)0.004
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.244
Threshold uncertainty score0.990

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
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 head0.625
GPT teacher head0.566
Teacher spread0.059 · 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