Lateness: A Recurrent Problem among Secondary School Students in Akoko South East Local Government Area of Ondo State Nigeria, Implications for Counselling
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 study investigated lateness as a recurrent problem among secondary school students in Akoko South East Local Government Area of Ondo State. Four hypotheses were formulated and an instrument titled “Cause of Lateness to School Questionnaire” (COLTSQ) used to gather data for the study. The instrument had a reliability coefficient of 0.78. It had content validity and language appropriateness. The researcher used two research assistants to administer 325 copies of the questionnaire on SS2 and SS3 students in the 5 public secondary schools used. 300 copies of the questionnaire were retrieved showing 92.3 percent return rate. The data collected were collated and the t-test statistics was used to test the hypotheses at 0.05 level of significance. The findings showed that there is no significant difference between male and female students in their identification of electronic media as a reason for lateness to school, there is no significant difference between students from high and low socio-economic status in their identification of broken home as a reason for lateness to school, there is no significant difference between SS2 and SS3 students in their identification of location of school as a reason for lateness to school, there is no significant difference between students in urban and rural areas in their identification of cultural background as a reason for lateness to school. One of the recommendations is that parents should put in place enforceable rules or time limit for watching television programmes at night and ensure that their children go to bed early.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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