HUBUNGAN MOVEMENT BEHAVIOR DENGAN DURASI SCREEN TIME PADA SISWA/I SMP TARAKANITA CITRA RAYA SELAMA MASA PANDEMI TAHUN 2021
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
The use of gadgets or screen time without paying attention to posture, screen brightness, and screen distance for a long time can affect vision and health. To reduce the spread of COVID-19, the Indonesian government has issued several social restrictions policies. As of September 5, 2021, Indonesians are advised to stay at home, the government has implemented school closures, and several sectors of the workplace are closed. These social restrictions result in children and families becoming increasingly dependent on screens for online learning, entertainment, and social interaction and have the potential to create barriers for society to comply with movement behavior recommendations. This cross sectional study aims to determine the relationship between physical activity, sleep duration, sedentary behavior, and movement behavior with the intensity of gadget use among students at Tarakanita Middle School during the 2021 pandemi. The sample size of this study was 239 students. The research method is filling out a questionnaire regarding movement behavior in accordance with the Canadian 24-h Movement Guidelines for Children and Youth (5-17 years) and a questionnaire on the intensity of the use of gadgets. Data were analyzed using chi-square analysis. The results of this study are that there is no relationship between physical activity and the intensity of smartphone use (p = 0.086), there is no relationship between sleep duration and the intensity of smartphone use (p = 0.810), there is a significant relationship between sedentary behavior and the intensity of smartphone use (p = 0.810). 0.000), and there is no relationship between movement behavior and the intensity of gadget use (p = 0.230). Parents, schools, and students are expected to pay more attention to the condition of sedentary behavior during the COVID-19 pandemi so as not to cause health problems in the future.
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.
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 | 0.009 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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.
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