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Record W4376866882 · doi:10.1080/00222216.2023.2199019

An integrative review of leisure education research

2023· article· en· W4376866882 on OpenAlexaff
Shintaro Kono, Chungsup Lee, John Dattilo

Bibliographic record

VenueJournal of Leisure Research · 2023
Typearticle
Languageen
FieldPsychology
TopicRecreation, Leisure, Wilderness Management
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsSocializationPsychological interventionEthnic groupInclusion (mineral)PsychologyRecreationData collectionSocial psychologySociologySocial sciencePolitical science

Abstract

fetched live from OpenAlex

Leisure education (LE) is a common approach to enhance people’s well-being. Yet, no systematic review exists that synthesizes LE studies, identifies gaps in the literature, and suggests future research directions. Using an integrative review design, we conducted database and hand searches as well as systematic applications of exclusion and inclusion criteria, which resulted in 64 articles. Reviewed LE studies involved diverse sex and age groups, although racial/ethnic characteristics were unclear. Most LE studies occurred in North America. People with intellectual and developmental as well as physical disabilities most frequently received LE. Typical sample size range was 10–50. LE interventions usually lasted 6–15 weeks. Researchers used various research designs and data collection methods to study effects of leisure-specific factors (e.g., leisure awareness, leisure planning) in interventions and outcomes, as well as personal and social factors (e.g., self-awareness, socialization). Overall, LE is versatile and has assisted various social groups.

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)0.029
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.287
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0290.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.005
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0020.001

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 head0.198
GPT teacher head0.578
Teacher spread0.380 · 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.

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

Citations9
Published2023
Admission routes1
Has abstractyes

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