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Record W4412462152 · doi:10.1080/07053436.2025.2524195

Türkiye’s leisure repertoire: The cultural consonance paradox on the path to perceived health and happiness

2025· article· en· W4412462152 on OpenAlexvenueno aff
Mehmet Doğan, Bülent Gürbüz

Bibliographic record

VenueLoisir et Société / Society and Leisure · 2025
Typearticle
Languageen
FieldPsychology
TopicAdventure Sports and Sensation Seeking
Canadian institutionsnot available
Fundersnot available
KeywordsHappinessRepertoirePsychologySocial psychologyPath (computing)Leisure activityArtComputer scienceLiterature

Abstract

fetched live from OpenAlex

The aim of the study was to examine the importance of leisure activities in terms of cultural consonance by assessing whether there was cultural consensus regarding the leisure activities engaged in by individuals living in three metropolitan cities in Türkiye. Furthermore, the relationships among cultural consonance in leisure, leisure satisfaction, health perception, and happiness were investigated. The results indicated the presence of cultural consensus concerning leisure activity participation. In contrast, cultural consonance in leisure was found to not have a significant direct effect on leisure satisfaction. However, leisure satisfaction demonstrated a direct and a significant effect on both happiness and health perception. Health perception was also found to have a direct and significant effect on happiness. Moreover, health perception was shown to mediate the relationship between leisure satisfaction and happiness with the indirect effect being statistically significant and positive.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.008
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
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 head0.032
GPT teacher head0.353
Teacher spread0.321 · 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 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

Citations1
Published2025
Admission routes1
Has abstractyes

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