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Record W2108524054 · doi:10.3384/ijal.1652-8670.094123

Successful aging as an oxymoron

2009· article· en· W2108524054 on OpenAlexfundno aff
Sandra Torres, Gunhild Hammarström

Bibliographic record

VenueInternational Journal of Ageing and Later Life · 2009
Typearticle
Languageen
FieldPsychology
TopicAging and Gerontology Research
Canadian institutionsnot available
FundersUppsala UniversitetVetenskapsrådetAGE-WELL
KeywordsConstruct (python library)OxymoronOlder peoplePsychologySocial psychologyGerontologyMedicinePublic relationsPolitical science

Abstract

fetched live from OpenAlex

Notions of what it means to age well or successfully are central to social gerontological research and practice. As such, one would expect that there would be consensus as to what the construct of successful aging means and/or how aging well is achieved. This is not, however, the case which is why this study explores the meanings that a group of older people (i.e. some with home-help care and some without) attach to this construct. The empirical material is constituted of 16 semi-structured interviews. The findings bring to fore the different resources (such as physical, mental, psycho-social, spiritual, and financial ones) that are associated with successful aging and the kind of outlook on life that is regarded as useful if one wants to age well. Differences between home-help care recipients and those that do not receive this type of care were found. Those that are managing without the help offered by home-help care services listed more resources and offered more nuanced descriptions of what successful aging means than those that receive home- help care. This suggests that receiving home-help care and/or not being able to manage primarily on one’s own might shape the manner in which older people think about what constitutes a good old age. The in-depth analysis of the notions of successful aging that were brought to the fore suggests also the paradoxical fact that the title of this article attests to; namely that some associate aging well with not aging at all and deem, in fact, the term successful aging to be an oxymoron.

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)0.009
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.046

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0050.038
Scholarly communication0.0060.008
Open science0.0010.008
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0010.000

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 head0.027
GPT teacher head0.388
Teacher spread0.361 · 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 designTheoretical or conceptual
Domainnot available
GenreCommentary

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

Citations32
Published2009
Admission routes1
Has abstractyes

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Same venueInternational Journal of Ageing and Later LifeSame topicAging and Gerontology ResearchFrench-language works237,207