Effective School- Community Relations as a Key Performance Indicator for the Secondary School Administrator in Aba South District, Nigeria
Bibliographic record
Abstract
This study investigates Effective School-Community Relations as a key Performance Indicator (KPI) of Secondary Schools Administrator in Aba South District, Nigeria. Descriptive survey method was adopted. All the 248 teachers made up the population and sample in a purposive sampling technique representing 100% of the entire population as sample. A two-part, 10-item, 4-point scale instrument known as ‘School-Community Relations Performance Questionnaire’ (SCRPQ) was used to generate data for answering two research questions and for testing two null hypotheses. The instrument was validated by a team of experts at the Department of Educational Management, University of Port Harcourt, Nigeria, and a reliability value of 0.82 established using Pearson’s Product Moment Correlation Co-efficient. Mean was used to answer the research questions while t-test was used to test the null hypotheses at 0.05 level of significance. Findings reveal among others that communities employ teachers in core subjects, build library and donate land for building school facilities and concluded that effective school-community relation is a key performance indicator for the administrator. It was recommended that efforts be made to encourage community active participation in ensuring adequate academic performance of 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 | 0.004 | 0.002 |
| 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 | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".