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Record W2144190197 · doi:10.3384/ijal.1652-8670.105145

Paid work between age 60 and 70 years in Europe

2010· article· en· W2144190197 on OpenAlexaff
Kathrin Komp, T.G. van Tilburg, M.I. Broese Van Groenou

Bibliographic record

VenueInternational Journal of Ageing and Later Life · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicRetirement, Disability, and Employment
Canadian institutionsUniversity of Lethbridge
FundersNational Insurance Institute of IsraelBelgian Federal Science Policy OfficeGerman-Israeli Foundation for Scientific Research and DevelopmentAustrian Science FundEuropean Commission
KeywordsWorkforceDemographic economicsInequalityPensionAging in the American workforceWork (physics)PrestigeEuropean Social SurveyPolitical scienceLabour economicsEconomicsEconomic growth

Abstract

fetched live from OpenAlex

Over the past years, older persons’ workforce participation has increased and, after years of studying early retirement, the focus has gradually shifted to workforce participation between age 60 and 70 years. Those are the years directly below and above the mandatory retirement age in most of the European countries. We investigate the influence of socio-economic status (SES) on older persons’ workforce participation. Moreover, we study whether the importance of private pensions in a country modifies the effect of SES. Survey data from eleven European countries are analysed in multilevel analyses. Results show that paid work in old age is the domain of persons with high SES. Moreover, a high share of private pensions in a country diminishes the influence of occupational prestige on men’s workforce participation. This suggests that older persons with low SES deserve particular attention in labour market reforms. Additionally, it suggests that pension reforms be monitored concerning their effects on social inequalities.

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)0.002
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 score0.021
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0040.001

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 head0.103
GPT teacher head0.387
Teacher spread0.284 · 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

Citations52
Published2010
Admission routes1
Has abstractyes

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Same venueInternational Journal of Ageing and Later LifeSame topicRetirement, Disability, and EmploymentFrench-language works237,207