Investigation of Smartphone Addiction Effect on Recreational and Physical Activity and Educational Success
Bibliographic record
Abstract
The aim of the study was to investigate smartphone addiction effect on physical activity, recreational sportsparticipation and educational success. In total, 255 students studying at Dumlupinar University and using smartphone(136 male and 119 female) voluntarily participated to the study. Within the scope of this study, SmartphoneAddiction Scale-Short Version (SAS-SV) (Noyan, Darcin, Nurmedov, Yilmaz & Dilbaz, 2015) was applied to theparticipants. To the data gathered from the participants, parametric tests as Independent Sample T-Test and ANOVAwere applied (p<0.05). According to the results there is significant difference between smartphone addiction ofparticipants and gender, age and recreational sports (p<0,05); but there is no significant difference betweensmartphone addiction and academic success and recreational activities practiced (p>0,05). It is considered thatparticipants with higher academic grades may have higher smartphone addiction score because of using smartphonesas teaching tool in classrooms. Participants practicing physical and recreational sports have less smartphoneaddiction score and it can give a clue that smartphones are constraints for physical activities and this may be a reasonand taking precaution subject for a sedentary lifestyle and unhealthy individuals.
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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 | 0.001 | 0.000 |
| 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 | 0.001 |
| 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".