A NUMBER OF KILOMETERS MATTERS: A COMPARATIVE STUDY ON LEARNERS STUDY HABITS AND SCHOOL PERFORMANCE
Bibliographic record
Abstract
Going to school is a daily affair in a students life. The distance between home and school may be a determining factor in the school performance of the students. In this study, it aims to compare two sample groups of students: one group lives 1-2 kilometers from the school, and the other lives 3–4 kilometers from the school. The researchers utilized a sample size of 166, which represents the entire population of Binoni National High School. The participants were chosen using simple random sampling. Then the respondents were subjected to answering a questionnaire that measured the study habits of the participants and their fourth quarter ratings for school performance. The general average of the students near the school is 85.43%, while those living away from school have a general average of 85.47%. While the Likert scale shows an overall mean of 3.98 with a verbal description of agree, students from 3–4 kilometers from school have an overall mean of 4.11 with a verbal description of agree. These findings suggest that even if there is no significant difference in school performance between students who live near and far from school, However, they differ in their study habits students living away from school had a better study habit than students living near the school.
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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 | 0.004 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".