Factors Responsible for Violent Behaviours among Secondary School Students as Expressed by Teachers in Ilorin Metropolis, Kwara State
Bibliographic record
Abstract
This study investigated the factors responsible for violent behaviours among secondary school students as expressed by teachers in Ilorin Metropolis, Kwara State. The population for this study comprised all teachers in Ilorin metropolis. A researcher-designed questionnaire was designed to gather data from the respondents. The validity and reliability of the instrument were established. The data collected were analyzed using both descriptive and inferential statistics. For the demographic data, percentages were employed while t-test statistical tools were employed to analyze the hypotheses at a 0.05 level of significance. Findings revealed that the factors responsible for violent behaviours are extreme annoyance displayed by parents towards their children, extreme harshness towards children by parents, and inconsistent parental responses to children’s needs among others. There were no significant differences in the factors responsible for violent behaviours among secondary school students as expressed by teachers in Ilorin metropolis based on gender and years in teaching. It was recommended that counselling centres should be established and made functional in all secondary schools in Ilorin and Nigeria in general.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".