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Record W2900426503 · doi:10.1093/geroni/igy023.1314

THE POWER OF PURPOSE FOR AGING WELL: CONTRIBUTIONS FROM THE HUMANITIES AND ARTS

2018· article· en· W2900426503 on OpenAlexaboutno aff
Monika Ardelt, Thomas R. Cole

Bibliographic record

VenueInnovation in Aging · 2018
Typearticle
Languageen
FieldPsychology
TopicPsychological Well-being and Life Satisfaction
Canadian institutionsnot available
Fundersnot available
KeywordsReligiositySpiritualitySuccessful agingPsychologyMeaning (existential)The artsAdult developmentAssociation (psychology)Developmental psychologyPower (physics)GerontologySocial psychologyMedicinePsychotherapistVisual artsArt

Abstract

fetched live from OpenAlex

The symposium will explore how purpose in life contributes to aging well. Presenters will debate whether purpose in life is predicted by vital involvement in old age, religiosity, spirituality, and wisdom, and what the mechanisms might be that link life purpose to subjective and psychological well-being in old age. Hanne Laceulle offers a critical, philosophical investigation of the relations between purpose, eudaimonia, and self-realization, given the limited time-horizon that older adults face. Helen Kivnick discusses how personal values, strategies, and Erikson’s concept of vital involvement in old age are connected and exemplified in a nursing home resident who is an elder role model and has realized a life of purpose. Using qualitative interview data, Jenni Spännäri examines how religion, spirituality, spiritual seeking, and religious communities help older retirement migrants, who divide their time between Finland and Spain, find meaning in life. Finally, Monika Ardelt and Michel Ferrari use cross-sectional data of 111 older adults (age range 62–99 years, M=77) and 100 young adults (age range 21–30 years, M=24) from the US and Canada and multi-group path analysis to show that the association between wisdom and well-being was partially mediated by a sense of mastery and purpose in life. The relation between religiosity and well-being was also mediated by mastery and purpose in life among US young adults, but purpose in life alone partially mediated the association among older adults. Our discussant, Thomas Cole, will critically summarize the individual contributions and discuss how the presentations are related to each other.

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)0.001
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.797
Threshold uncertainty score0.325

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.047
GPT teacher head0.353
Teacher spread0.307 · 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 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

Citations0
Published2018
Admission routes1
Has abstractyes

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