Exploring Gender Differentials in Parents’ Perception of Children’s Television Viewing Habit in the Digital Era
Bibliographic record
Abstract
Television viewing is rapidly becoming a habit among individuals, especially children. The concerns about the effects of the habit on children informed this study. The study explores the gender differentials in parents’ perception of television viewing habit among children in the digital era. Using un/structured questionnaire, primary data were sourced from 300 parents in Pankshin, Plateau State, North-Central Nigeria. Survey design, mixed method, and content, thematic, descriptive and statistical analyses along with their allied analytical tools were employed. The results show that gender may influence parents’ perception of and attitude towards children’s television viewing habit, though the influence is insignificant. The pragmatic strategies identified for effective parental control of the habit are affirmed by majority of the respondents. The study concludes gender may influence parents’ perception of and attitude towards the habit, but it is not a determinant of their perception of and attitude towards the habit. Co-operation, collaboration, mutual understanding, and gender re/orientation are some of the recommendations made.
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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 | 0.003 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".