RELATIONSHIP BETWEEN ANXIETY AND ACADEMIC PERFORMANCE OF PRIMARY SCHOOL PUPILS IN SABON GARI, KADUNA STATE
Bibliographic record
Abstract
The researchers examined the relationship between Anxiety and Academic Performance of primary school pupils in Sabon Gari, Kaduna State. Three research objectives and three corresponding research questions guided the study, focusing on anxiety levels, contributing factors and academic outcomes. A descriptive survey design was adopted to enable the researchers to collect and analyze pupils’ anxiety levels and academic performance. The sample for the study comprised of One hundred and sixty (160) primary school pupils drawn from eight (8) schools out of twenty (20) schools in the study area using simple random sampling techniques. The instruments for data collection were structured questionnaires, and the responses were analyzed using mean and standard deviation. The results revealed a high prevalence of anxiety among primary school pupils in Sabon Gari, Kaduna State. The study also identified several academic-related factors that contribute to anxiety among these pupils. The findings suggest that anxiety during primary education may have long-term implications for pupils’ academic progression. The study recommends that government, schools, teachers, counselors, and parents implement mental health awareness programs to reduce stigma, improve understanding of anxiety, and encourage help-seeking behaviors among pupils.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".