Comparative Study of Pupils' Academic Performance between Private and Public Primary Schools
Bibliographic record
Abstract
This paper compares pupils’ academic performance between the private and public primary schools. The sample,made up of 240 pupils were randomly selected from the private and public primary schools in Ilesa East and WestLocal Government Council Areas of Osun State, Nigeria. Two instruments were used. A structured questionnaireand Pupils’ Achievement Test (PAT) in three core-subject areas of the Primary School Curriculum namely: EnglishLanguage, Mathematics and Social Studies. While the questionnaire was used to collect relevant bio- data of therespondents, the instrument on achievement tests (PAT) was used to collect data on students' performance in thethree subjects involved in the study. Data were analyzed using frequency count, simple percentages and Z-test.Results showed that pupils in the private primary schools performed better than their counterparts in the publicschools and therefore call for improvement in the public schools to enhance the learning opportunity of the vastmajority of pupils attending the public schools.
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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 | 0.001 | 0.003 |
| 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 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".