Trends, Issues, and Community Participation in to Prevent Sexual Violence in Children at Sleman Regency, Yogyakarta
Bibliographic record
Abstract
OBJECTIVE: Violence in children is a phenomenon like an iceberg, more victims do not report than report to related parties. This study will observe the trends of sexual violence that occurred in Sleman Regency, Yogyakarta City in 2015-2018, and see community participation in preventing sexual violence against children to provide advice for policymakers in making regulations regarding sexual violence against children to create a bright generation. METHOD: This research was a descriptive cohort study with a survey method. The sample of the research was 321 children aged 2-18 years in Sleman Regency. This research was done from 2015 to 2018. The data was collected then processed by using linear regression analysis. RESULT: The regression coefficient of the relationship variable with the victim has a positive but very weak effect on sexual violence in children, 2, 419 with a confidence level of 95% at the limit of 0.006-0.061, which means that the relationship with the victim increases the number of child abuse by 2.419%. The coefficient of the location of the incident has a positive effect on sexual violence on children, 2, 800 with a confidence level of 95% at the limit of 0.12 to 0.70, which means the location of the effect on the incidence of sexual violence on children. CONCLUSION: Victims of violence that occur in girls in the elementary-junior high school age range, the Government of Sleman Yogyakarta through the Technical Implementation Unit for the Protection of Women and Children (UPTD PPA) provides counseling to restore children’s mentality so that they can return to society in good condition and avoid violence sexual future. For children to avoid sexual violence against children, sexual education needs to be given starting from the basic layer, namely the family level, besides that parents must be able to play a maximum role in giving attention and protection to realize safety for children.
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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 | 0.000 | 0.001 |
| 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 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".