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Record W6990774361

The effects of recreation & leisure participation in older adults (55+)

2019· other· en· W6990774361 on OpenAlexaboutno aff

Bibliographic record

VenueArca (British Columbia Electronic Library Network) · 2019
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsGestational periodNucleofectionTSG101HyporeflexiaParaphernaliaQuality (philosophy)
DOInot available

Abstract

fetched live from OpenAlex

Recreation and leisure programs play a vital role in the lives of older adults (55+). Research indicates that more active types of activity, in particular, are positively associated with higher health-related quality of life (Jenkins, Pienta, & Horgas, 2002). The purpose of this project was to examine the effects of recreation and leisure participation on older adults’ (55+) quality of life. Four out of the five participants were female, and one of the participants was male. The participants ranged in age from 61-79, the mean age was 65. Participants were recruited from local Community Centres in Vancouver and Coquitlam and were enrolled (or had previously been enrolled) in community recreation and leisure programs. Semi-structured, one-to-one, 30 minute interviews were conducted. Participants were asked a number of questions about participating in these programs, the effects they have experienced through participating, and their quality of life. The interviews were then transcribed verbatim, analyzed, and descriptively coded to organize data into categories based on my research question. Findings revealed that research participants’ experienced positive effects from participating in recreation and leisure programs, especially noticing increased positive emotions, social well-being, physical health, and psychological well-being, which contributed to an increase in participants’ quality of life. Key words: Community recreation, leisure, older adults, quality of life.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.451
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0360.001

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 head0.003
GPT teacher head0.202
Teacher spread0.199 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2019
Admission routes1
Has abstractyes

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