Exposure to violent video and aggressive behavior among Public Secondary Students, Kwara State, Nigeria
Bibliographic record
Abstract
Aggressive behavior is a range of acts that result in physical and psychological harm to the perpetrator, and other students, thus hindering learning activities. This study investigated the relationship between exposure to violent videos and aggressive behavior among public secondary students in Kwara State, Nigeria. The survey method with a correlational design was adopted. A total sample of 381 participants was involved using the stratified random sampling technique. A research-designed questionnaire titled Exposure to Violent Videos and Aggressive Behaviour Questionnaire (EVABQ) was used to collect the data. Pearson’s product-moment correlation and t-test statistics were used to analyze the hypotheses. Results revealed a positive relationship between exposure to violent videos and aggressive behavior. The results showed statistically significant differences in exposure to violent videos and aggressive behavior among public secondary students based on gender and age. Male respondents were more exposed to violent videos and had more aggressive behavior than females. In contrast, students below 15 years old were more exposed to violent videos and exhibited aggressive behavior than 15 years and above. Therefore, school counselors should sensitize public secondary students to the influence of exposure to violent videos on aggressive behavior, especially among males and students below 15 years old.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".