Factors affecting the Academic Performance of Elementary Learners under Nuclear, Extended, and Single Families
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The primary objective of this investigation was to evaluate the various factors that impact the academic performance of students belonging to nuclear, extended, and single-parent families. The research methodology employed in this study was Descriptive Correlational Research Design. A purposive sampling technique was utilized to extract the sample consisting of pupils enrolled in grades 4, 5, and 6. Statistical techniques such as frequency count, percentage mean, standard deviation, and Spearman rank correlation were employed to analyze the collected data and to investigate the correlation between family structure and academic performance. The study identified Parental Education as an essential contributor to students' achievements in the context of this research. The results highlight the intricate interaction between demographic factors and academic performance, emphasizing the need for customized educational policies and interventions that cater to various family models. Hence, it is concluded that the findings emphasize income's pivotal role, especially within Single-Parent profiles, impacting academic outcomes. Parental education significantly influences students' achievements, revealing the intricate interplay of demographics and academic performance. Hence further, recommendations were tailored educational policies targeting economic support, parental engagement, and diverse family structures are crucial for effective interventions and optimal academic outcomes.
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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 | 0.003 | 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 | 0.001 | 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 it