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Record W2609856412 · doi:10.1093/geront/gnx044

I Learn, Therefore I am: A Phenomenological Analysis of Meanings of Lifelong Learning for Vulnerable Older Adults

2017· article· en· W2609856412 on OpenAlexafffund
Miya Narushima, Jian Liu, Naomi Diestelkamp

Bibliographic record

VenueThe Gerontologist · 2017
Typearticle
Languageen
FieldPsychology
TopicAging and Gerontology Research
Canadian institutionsBrock University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsInterpretative phenomenological analysisLifelong learningPsychologyDevelopmental psychologyCognitive psychologySociologyPedagogyQualitative researchSocial science

Abstract

fetched live from OpenAlex

Background and Objectives: This study explores the lifelong learning experience of vulnerable older adults to find out (a) what is involved in their activities, (b) what meanings they take from their learning, and (c) how participation in a learning program helps to maintain their well-being and independent living despite their daily challenges. Research Design and Methods: This study employed a hermeneutic phenomenological approach. As part of a larger study, we conducted semi-structured interviews with older learners enrolled in general interest courses at a public continuing education program. In this study, we particularly focused on 10 vulnerable participants (8 women and 2 men, aged from 70 to 90), and analyzed their accounts following van Manen's (2014) guided existential inquiry method. After the inductive thematic analysis, we clustered the overarching themes into five existentials (lived-body, lived-relation, lived-space, lived-time, and lived-material) to explicate the meanings of their lived experience of learning. Results: The meanings of learning found in the five existential aspects included: (a) assurance for the dissonant body and mind; (b) a circle of camaraderie; (c) a balance between physical and mental spaces; (d) integration of past, present, and future; and (e) beyond knowledge and skills. Participants' continuous practice of learning works as a therapeutic self-help mechanism to counterbalance changes in their lifeworlds. Discussion and Implications: The findings contribute to the growing body of evidence of the wider benefits of lifelong learning and its crucial role in well-being and health among aging populations. Governments at all levels should take full advantage of these benefits.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.240
Threshold uncertainty score0.971

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.070
GPT teacher head0.393
Teacher spread0.323 · 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 designObservational
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

Citations45
Published2017
Admission routes2
Has abstractyes

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