The Relationship between Quality of Life and Eating Attitudes in Turkish High School Students
Bibliographic record
Abstract
The aim of this study is to examine the relationship between quality of life and eating attitudes of adolescents. Thisstudy was designed as a correlational study. Participants were 640 voluntarily participating 15-18 years old studentsstudying at public high schools in Samsun, Turkey. Data was collected with the Quality of Life Scale for Childrenand Eating Attitudes Test. In the data analysis process, descriptive analysis and pearson correlation analysis for therelationship between life quality and eating attitudes were used. Simple linear regression analysis was also employedto see whether life quality predicts eating attitude scores. According to the study findings, there was a negative andstatistically weak relationship between life quality and eating attitudes. Also, it was revealed that adolescents’ qualityof life scores predicted their eating attitude scores. The study results were discussed with previous literature.
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How this classification was reachedexpand
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 | 0.003 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".