Scrutinising the Socio-Demographic Pattern of Parenting Practices and Parenting Styles in Upholding Child’s Protection and Privacy to Address Paedophilia Issue
Bibliographic record
Abstract
Paedophilia issue has become a global issue around the world, including Malaysia. In today’s era of globalisation and modernisation, the seriousness of paedophilia issue is undeniable. As the closest persons to children, parents have been recognised as the critical actor that contributes to children’s protection and security. However, research related to “parenting practices” and “parenting styles” specifically to address the paedophilia issue remains limited in Malaysian context. Thus, a doctoral research, conducted by one of the authors, aimed to fill the gap. Based on the findings, this paper presents the socio-demographic and sociocultural pattern of Malaysian parents in upholding child protection and privacy to prevent paedophilia issue. A survey involving 900 parents representing the equal number of genders (male and female) and ethnicities (Malays, Chinese and Indian) was undertaken. Based on the statistical analysis, there were two key findings highlighted in this paper, which were: (1) the socio-demographic pattern revealed that female parents have higher interest in upholding the child protection and privacy, as compared to male parents; and (2) the socio-cultural pattern showed that Indian parents have high commitment in upholding the child protection and privacy, followed by Malay and Chinese parents. Although every parent has different approaches in upholding their children’s protection and privacy; however, this paper argued that the socio-demographic and socio-cultural aspects are among the main indicators influencing parenting practices and parenting styles in Malaysia.
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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 | 0.004 |
| 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 | 0.001 |
| 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".