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Record W2900271553 · doi:10.1093/geroni/igy023.2792

RELATIONSHIPS BETWEEN CONTEXT, IDENTITY NEGOTIATION, AND WELL-BEING IN RETIREMENT

2018· article· en· W2900271553 on OpenAlexaff
Nicky J. Newton

Bibliographic record

VenueInnovation in Aging · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicSocioeconomic Development in MENA
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsContext (archaeology)Identity (music)PsychologyPsychosocialAffect (linguistics)NegotiationSocial psychologyMeaning (existential)GerontologySociologyMedicine

Abstract

fetched live from OpenAlex

Retirement can be challenging, depending on myriad factors. The transition itself, in addition to the context in which it occurs – such as whether retirement is planned or unplanned - may lead some older adults to renegotiate their identities (Whitbourne & Skultety, 2006). Moreover, retirement and its associated psychosocial response can ultimately affect retirees’ well-being (Wang & Hesketh, 2012), whether assessed as hedonic or eudaimonic. The current study examines the relationship between identity processes (assimilation, accommodation, balance), planned/unplanned retirement, activity participation, and four types of well-being (meaning in life; activity-linked positive and negative affect; life satisfaction) in a sample of retired Canadians (N = 124; Mage = 68). Preliminary results indicate that, while retirement context is important, identity processes are significantly associated with different types of well-being in different ways, thus highlighting the need to comprehensively measure context and individual differences in order to maximize well-being during retirement.

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)0.004
metaresearch head score (Gemma)0.001
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 score0.117
Threshold uncertainty score0.313

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.055
GPT teacher head0.345
Teacher spread0.289 · 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.

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

Citations0
Published2018
Admission routes1
Has abstractyes

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