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Record W2922407886 · doi:10.1177/2333721419834308

Older Women’s Experiences of Aging and Health: An Interpretive Phenomenological Study

2019· article· en· W2922407886 on OpenAlexaboutno aff
Dympna Tuohy, Adeline Cooney

Bibliographic record

VenueGerontology and Geriatric Medicine · 2019
Typearticle
Languageen
FieldPsychology
TopicAging and Gerontology Research
Canadian institutionsnot available
FundersUniversity of Limerick
KeywordsAutonomyInterpretative phenomenological analysisPhenomenology (philosophy)GerontologyPsychologyProactivityMeaning (existential)IrishDevelopmental psychologyQualitative researchMedicineSociologySocial psychologyPsychotherapist

Abstract

fetched live from OpenAlex

Objective: This interpretive phenomenological study explored older Irish women’s experiences of aging and health related issues. Method: Data were collected using in-depth interviews with 23 older women (coresearchers). Data analysis followed the “Vancouver school of doing phenomenology” framework and included a meta-synthesis of individual case constructions. Results: “Retaining autonomy within a process of adaptation and continued engagement” describes the essential meaning of coresearchers’ experiences. Four themes were identified: “Being in control: Balancing needs and supports,” “Navigating a changing world,” “Being connected and involved,” “Trying to stay well.” Discussion: Gender shapes older women’s experience of aging, health, and ill health. Three major factors moderate their experience: autonomy and control, proactivity and adaptability, and staying engaged with life. The study concludes that aging, gender, and health are intrinsically linked and collectively shape older women’s experience. This is an important consideration when planning gender-appropriate health care services for older women.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.066
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.064
GPT teacher head0.416
Teacher spread0.352 · 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.

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

Citations33
Published2019
Admission routes1
Has abstractyes

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