The Influence of Leisure on the Quality of Life of Refugees in Turkey
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Quality of life (QOL) is of great concern for refugees who experience significant hardship and life changes. Leisure may support refugees’ QOL, however, a review of the literature reveals a gap in understanding the influence of leisure availability and participation on the QOL of adult refugees residing in Turkey. This study examined the influence of different dimensions of leisure (i.e. active, passive, and social) on the QOL of refugees (i.e. physical, psychological, social, and environmental) using the WHOQOL-BREF scale. Responses from 203 adult refugees residing in Turkey were analysed using structural equation modelling. Results showed that both leisure availability (β = .80, p < .001) and participation (β = .32, p < .001) strongly influenced QOL. Leisure availability also indirectly and positively influenced QOL through participation (β = .39, p < .001). The calculated R-squared (R2 = .45) showed that variation in leisure availability and participation explains a significant proportion of variation in QOL of refugees who participated in this study. It can be interpreted that improving refugees’ perceived and actual access to leisure and facilitating their leisure participation may substantially improve their QOL when coupled with other interventions.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it