Effects of School Proximity on Students’ Performance in Mathematics
Bibliographic record
Abstract
This research investigated the school proximity and the Grade 7 students’ academic performance in Math of a mountain barrio public national high school in Pinamungajan, Cebu, Philippines. There were 171 respondents who were identified using simple random sampling. They answered a survey questionnaire describing their proximity to the school while their Fourth Quarter Grades were used to assess their academic performance in Math. Data gathered were treated using descriptive and inferential statistics. Results revealed that most of the students are very far from school which they have to walk to reach school. Most of their houses are not accessible to the road. They had a very satisfactory performance in Math. Moreover, there was a significant relationship between the students’ distance to school and their academic performance in Math. However, no significant relationships between the student’s mode of transportation, house accessibility to the road, and their academic performance in Math were found. Thus, it is recommended that school administrators and teachers design programs that would address students’ challenges in attending school relative to their house to school distance while the government provides infrastructures that would address concerns on long-distance travel of the students.
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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 | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 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".