Bibliographic record
Abstract
The goal of this research was to study the brain behavioral systems, cognitive emotion regulation strategies, mood symptoms and sleep quality anticipants of academic performance in second year high school students.The research method was descriptive and correlation (casual modeling).The statistical society included all of students in khormabad city in academic year 2016.By using cluster sampling, 370 students (170 female and 200 male) were selected and answered the Questionnaires: Brain-Behavioral System, Cognitive Emotion Regulation Strategies, Depression, Anxiety Stress scale (DASS-21) and Pittsburgh Sleep Quality index (PSQI).Data was analyzed based on structural equation modeling.The results indicated that the analyzed data fitted the theoretical model and the model proved to be valid in this regard.The investigation of the results showed that all the casual ways towards the academic performance are meaningful.Among the examined varieties in the model, the depression, anxiety stress sleep quality are capable to predicting academic performance better and stronger than other varieties and also can be used for enhancing the mental health level of student.
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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 | 0.000 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.994 | 0.992 |
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; both teacher heads agree on what is shown here.
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".