Perception of Pupils, on Home Grown School Feeding Programme in Ebonyi State, South-East Nigeria
Bibliographic record
Abstract
The purpose of the study was to determine the perception of pupils on the Home Grown School Feeding Programme in Ebonyi State, South-East Nigeria. The research utilized a cross-sectional survey research design on a population of 66591 pupils in the selected public primary schools. A sample of 540 pupils was used for the study. The instrument for data collection is a 30-item “Questionnaire on Perception of Pupils on Home Grown School Feeding Programme (QPPHGSFP).” Four hundred and eighty-six (486) copies of each questionnaire were administered and 483 (99.4%) were retrieved. Data were analyzed using frequencies and percentages. Chi-square statistic was used to test the null hypothesis at a p<0.05 level of significance. Result showed that HGSFP makes the pupils to enroll, attend, remain in school. Pupils like the quality and the size of the food served, and it was locally produced. Age, sex, and class level was not significant (p>0.05) while the location was significant (p<0.05). Conclusively pupils’ perception was good on HGSFP. We recommend that the government and other stakeholders in charge of the programme should remain committed to providing the needed resources for the smooth running of the programme to improve the educational infrastructure of rural communities.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".