Bibliographic record
Abstract
This article examined self-concept, social network and study habit as predictors of students' educational success using some selected post-primary schools in Lagos metropolis, Nigeria, as a case study.Questionnaires were used to collect information from 150 students in five secondary schools in the state.Three hypotheses were formulated and tested using Pearson Product Moment Correlation Statistics.The results revealed a significant connection between social network and students' self-concept, based on the fact that r-cal (0.206) was greater than the r-crit value (0.120) @ 0.05 level of significance.Further to that, it was found that students' study habits showed a significant correlation with both students' academic performance and their self-concept using the value of r-cal (0.184) to be significantly greater than r-crit (0.024) at 0.05 level of significance and 148 degree of freedom.Lastly, the study revealed a significant relationship between students' study habits and their academic performance judging from the value of r-cal (0.139) that was greater than r-crit (0.089) at 0.05 level of significance and 148 degree of freedom.Based on these findings, recommendations were made Keywords: Self-concept,
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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) | 0.990 | 0.990 |
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".