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Record W3210670073 · doi:10.1177/10436596211053655

What Matters Most to Older Chinese Adults

2021· article· en· W3210670073 on OpenAlexafffund
Liza Lai Shan Choi, Piera Jung, Marti Harder, Kelly Zhang

Bibliographic record

VenueJournal of Transcultural Nursing · 2021
Typearticle
Languageen
FieldPsychology
TopicAging and Gerontology Research
Canadian institutionsVancouver Island UniversityMount Royal University
FundersVancouver Island UniversityMount Royal University
KeywordsPsychologyQualitative researchPhenomenology (philosophy)Gerontological nursingGerontologyMeaning (existential)Quality of life (healthcare)Transcultural nursingLife satisfactionHealth careMedicineSocial psychologyNursingSociologyPsychotherapist

Abstract

fetched live from OpenAlex

INTRODUCTION: Although an abundance of gerontological research has focused on subjective well-being, quality of life, and life satisfaction, we know little about what matters most to older adults in sub-cultural groups. The purpose of this study was to explore what matters to older Chinese adults. METHODS: The study used a qualitative interpretive design, drawing influences from phenomenology and constructed meaning through participants' lived experiences. RESULTS: and categorical themes emerged. This study emphasized the importance of hearing the voices of Chinese older adults and how they viewed well-being, quality of life, life satisfaction, and health care. DISCUSSION: The findings of this study have added to the body of existing knowledge of what matters most to older adults. These insights may advance nursing as it pertains to culturally congruent health care.

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)0.000
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.616
Threshold uncertainty score0.828

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0010.000

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 head0.019
GPT teacher head0.383
Teacher spread0.364 · 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 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

Citations7
Published2021
Admission routes2
Has abstractyes

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