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Record W2899608664 · doi:10.1080/14927713.2018.1535908

Leisure in later life for people with intellectual impairments: beyond service provision toward person coherence

2018· article· en· W2899608664 on OpenAlexaffvenue
Brenda Rossow-Kimball, Donna L. Goodwin

Bibliographic record

VenueLeisure/Loisir · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicHealthcare innovation and challenges
Canadian institutionsUniversity of AlbertaUniversity of Regina
Fundersnot available
KeywordsLonelinessRecreationAutonomyNarrativeSociologySociology of leisurePsychologyService (business)Public relationsIntervention (counseling)Social psychologyPolitical scienceSocial scienceBusiness

Abstract

fetched live from OpenAlex

Rooted in a paradigmatic history of institutionalization and dependency, leisure professionals have assumed that without intervention, retirees with intellectual impairments may experience loneliness, isolation, and inactivity when leaving the structured settings of sheltered employment. The belief that expert-driven programs are necessary to live active, engaged, and meaningful retirements reflects an enduring deficits-based discourse of disability. The purpose of the study was to understand the experiences of three men with intellectual impairments who enjoyed self-directed active leisure in retirement without professional supports or constraints of recreation and leisure specialists. Using narrative inquiry methodology the inward experiences of places that supported autonomous retirement leisure were uncovered; the senior centre, rural connections, downtown, and church. Their stories illustrated rejection of the professional landscape of expert-driven leisure programs by composing self-directed leisure activities interconnected with their past interests, preferred social networks, and place. Their narratives disrupted beliefs that professionally crafted programs are necessary for a satisfying, active, and engaging retirement. An alternate paradigmatic lens of personal coherence emerged reflecting self-driven expressions of leisure based upon personal history, autonomy, and choice.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.620
Threshold uncertainty score0.934

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.062
GPT teacher head0.339
Teacher spread0.278 · 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

Citations3
Published2018
Admission routes2
Has abstractyes

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