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Record W2066019353 · doi:10.1080/03601277.2012.750981

Centenarian Self-Perceptions of Factors Responsible for Attainment of Extended Health and Longevity

2013· article· en· W2066019353 on OpenAlexaff
Shannon Freeman, John Garcia, Hannah R. Marston

Bibliographic record

VenueEducational Gerontology · 2013
Typearticle
Languageen
FieldPsychology
TopicAging and Gerontology Research
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsCentenarianLongevityPsychologyGerontologyEducational attainmentQualitative researchPerceptionSuccessful agingHealthy agingMedicineSociologySocial science

Abstract

fetched live from OpenAlex

Pathways healthy and physically functional centenarians take to achieve advanced old age have fascinated mankind for centuries. This hermeneutic phenomenological study documents characteristics perceived by centenarians as important and central to their attainment of advanced longevity. Secondary data including written transcripts and audio and video interviews were collected from the Internet for 19 centenarians ranging in age from 100 to 115. Four themes were identified and described: (a) lifestyle choices, (b) community and environment, (c) goal setting and attainment, and (d) attitude towards life. Centenarians credited tangible, easily understood personal lifestyle choices for their attainment of advanced longevity. No consensus was found between the current analysis and major themes identified in a literature review from quantitative studies. Future research should include qualitative analysis utilizing primary interviews of centenarians and mixed methods studies designed to explore the differences between the current qualitative and quantitative research findings.

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0020.001
Open science0.0000.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.066
GPT teacher head0.423
Teacher spread0.357 · 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 designQualitative
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

Citations17
Published2013
Admission routes1
Has abstractyes

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