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Record W3114429430 · doi:10.1017/s0144686x20001749

Perceived barriers and contributors to sense of purpose in life in retirement community residents

2020· article· en· W3114429430 on OpenAlexaff
Nathan A. Lewis, Naomi Reesor, Patrick L. Hill

Bibliographic record

VenueAgeing and Society · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicHealth disparities and outcomes
Canadian institutionsCarleton UniversityUniversity of TorontoUniversity of Victoria
Fundersnot available
KeywordsRetirement communityThematic analysisGerontologyPsychologySense of communityAging in placeAction (physics)LimitingQualitative researchSocial psychologyMedicineSociology

Abstract

fetched live from OpenAlex

Abstract Despite the growing use of retirement communities and ageing care facilities, little is known about how residing in retirement residences may impact aspects of older adult wellbeing. Living in these communities may hold particular influence on residents’ sense of purpose, if they feel limited in their opportunities for individual action, or could serve to promote purposefulness depending on the social connections available. The current study sought to explore contributing factors as well as barriers to purpose in older adults living in three continuing care retirement communities. Using brief semi-structured interviews, 18 older adults were asked to describe their purpose in life, community-related activities and any perceived challenges limiting their ability to pursue this purpose. Thematic analysis was used to examine themes common across interviews. Interviews presented a mixed picture of the nature of purposefulness in retirement facilities. Residents espoused several benefits of community living such as social and leisure opportunities, while also noting several obstacles to their purpose, including health concerns and the belief that purpose in life was not relevant for older adults. These findings provide insight into how older adults can derive a sense of purpose from activities within their retirement community and how facilities can better tailor programmes to promote purposefulness and support personally valued roles for residents.

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)0.001
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 score0.226
Threshold uncertainty score0.950

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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)0.0000.000

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 head0.038
GPT teacher head0.325
Teacher spread0.287 · 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

Citations26
Published2020
Admission routes1
Has abstractyes

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