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Record W2767082681 · doi:10.1017/s0144686x17000885

Returns to work after retirement: a prospective study of unretirement in the United Kingdom

2017· article· en· W2767082681 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

VenueAgeing and Society · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicRetirement, Disability, and Employment
Canadian institutionsPublic Health OntarioUniversity of Toronto
FundersEconomic and Social Research CouncilAge UKUniversity of Essex
KeywordsDemographic economicsBritish Household Panel SurveyWork (physics)InequalityDemographyHealth and Retirement StudyPsychologyGerontologyEconomicsMedicineSociology

Abstract

fetched live from OpenAlex

ABSTRACT Despite the complexity of the retirement process, most research treats it as an abrupt and one-way transition. Our study takes a different approach by examining retirement reversals (unretirement) and their predictors. Using the British Household Panel Survey (1991–2008), and following participants into Understanding Society (2010–2015), we undertake a survival analysis to investigate retirement reversals among Britons aged 50–69 years who were born in 1920–1959 (N = 2,046). Unretirement was defined as: (a) reporting being retired and subsequently recommencing paid employment, or (b) beginning full-time work following partial retirement (the latter defined here as reporting being retired and working fewer than 30 hours per week). A cumulative proportion of around 25 per cent of participants experienced a retirement reversal after reporting being retired; about half of these reversals occurred within the first five years of retirement. Unretirement was more common for participants who were male, more educated, in better health, owned a house with a mortgage (compared to owning it outright) and whose partner was in paid work. However, unretirement rates were not higher for participants in greater financial need, whether measured as subjective assessment of finances or household income quintiles. These results suggest that unretirement is a strategy more often used by those who are already advantaged and that it has the potential to exacerbate income inequalities in later life.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.248
Threshold uncertainty score0.992

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 studies0.0010.000
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 head0.203
GPT teacher head0.425
Teacher spread0.223 · 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