Manajemen Pelayanan Kemanusiaan Merespon Fenomena Masalah Sosial Perlakuan Salah terhadap Anak (PSTA)
Bibliographic record
Abstract
Case of mistreatment for children (PSTA) are still found in Semarang regency. There are neglected children who engange in social deviant behaviour caused social dysfunction. The research aims to knew factors social problem mistreatment for children (PSTA) in Watuagung village, do it implementation human service management for children with near strategic education. This research used qualitative method analyze descriptive nearing case studied, research sample is children with name NN and local people, data collection techniques through with snowball sample with observation, interview, documentary and participatory, data analyze used triangulation of data validity. Results for this research showed are still family doing PSTA because economy poverty and citizen haved discriminative culture with PSTA victim and didn’t intervention from goverment, institution, or social activist to cleared social problem phenomena. Of this is influenced by less responsive from goverment with case PSTA and the need for regular assistance for families who carry out PSTA.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".