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Record W4293147110 · doi:10.1080/00222216.2022.2029631

Leisure’s relation to older adults adapting to new homes: A scoping review

2022· review· en· W4293147110 on OpenAlexaff
Kristin Prentice, Carri Hand, Laura Misener, Jeff Hopkins

Bibliographic record

VenueJournal of Leisure Research · 2022
Typereview
Languageen
FieldSocial Sciences
TopicMigration, Aging, and Tourism Studies
Canadian institutionsWestern University
Fundersnot available
KeywordsResidenceSocializationAdaptation (eye)Identity (music)GerontologyPsychologyAging in placeSociologySocial psychologyMedicine

Abstract

fetched live from OpenAlex

As the global population ages, older adults may move to new homes, experiencing changes in their social and physical environments. Leisure has been linked to adjusting to these changes by promoting maintenance of identity and socialization. The purpose of this scoping review is to synthesize literature regarding leisure’s relation to older adults’ adaptation to new homes. Findings suggest leisure is linked to adaptation to new homes by providing a sense of continuity, belonging and connection. Additionally, the physical, institutional and social environments of the new home can facilitate or hinder leisure participation. This review adds to the discussion of leisure’s inter-relationships with sense of home and identity of older adults moving to new homes. This review suggests practitioners, residence planners and policy makers can develop strategies that help older adults maintain social networks and leisure opportunities following transitions into new environments. This review identified gaps and areas for future research.

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)0.003
metaresearch head score (Gemma)0.015
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.010
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.015
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.003
Bibliometrics0.0070.008
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.236
GPT teacher head0.511
Teacher spread0.274 · 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 designSystematic review
Domainnot available
GenreReview

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

Citations6
Published2022
Admission routes1
Has abstractyes

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