Parenting Styles as a Determinant of Career Choice among Undergraduates with Disabilities at the University of Ilorin
Bibliographic record
Abstract
Several factors have emerged as a major concern in parenting styles as a determinant of career choice among undergraduates with disabilities at the University of Ilorin. This study examined the importance of parenting styles as a determinant of career choice including the concepts of gender, religion, age and level. A descriptive survey designed was adopted. The population consists of undergraduates with disabilities at the University of Ilorin, Kwara State. One research question was raised and four null hypotheses were postulated in the study. Data were collected using a questionnaire tagged “Parenting Styles as a Determinant of Career Choice among Undergraduates with Disability (PSDCCUDQ)”. Data analysis was done using t-test and Analysis of Variance (ANOVA). The results obtained revealed that discussing the problem that many encountered during the ‘choosing my choice of career’ is the most influential parenting style as a determinant of career choice among undergraduates with disabilities at the University of Ilorin. The findings of the study also revealed that there were no significant differences in the perception of respondents on parenting styles as a determinant of career choice based on gender, age, religion but there was a significant difference in the respondents’ perception on parenting styles as a determinant of career choice based on level. Based on the findings of this study, it was recommended that professional school counsellors should provide collaborative support and training to parents on career guidance.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".