Assessment of Gender, Location and Socio-Economic Status on Students’ Performance in Senior Secondary Certificate Examination in Mathematics
Why this work is in the frame
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Bibliographic record
Abstract
This study assessed the demographic characteristics of students’ performance in Mathematics in senior secondary Certificate Examination in Delta Central Senatorial District of Delta State. The purpose of the study is to assess the relationship between gender, location, socio-economic status and students’ performance in Mathematics in Senior Secondary Certificate Examination. The ex-post facto research design was used for the study. The population of the study is 15,170 SS3. A sample of 759 students was randomly selected from the total population using simple random sampling technique of balloting and stratified random sampling technique. Four research questions and four hypotheses were raised to guide the study. The instrument used for the study was a 40-item multiple choice senior secondary Mathematics Achievement test (SSMAT). Multiple regressions were used for the analysis. The study established that gender and socio-economic status contributed to students’ performance in Mathematics in senior secondary certificate examination. Recommendation was made based on the findings of the study.
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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 | 0.001 | 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) | 0.000 | 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 it