Pengaruh Lingkungan Fisik Sekolah Terhadap Perilaku Bullying: Sebuah Tinjauan Sistematis
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Lingkungan fisik sekolah berperan penting dalam membentuk perilaku sosial siswa, termasuk dalam mencegah bullying. Penelitian ini bertujuan mengevaluasi pengaruh desain lingkungan fisik terhadap bullying melalui pendekatan Systematic Literature Review (SLR). Fokus kajian mencakup visibilitas, pengawasan, serta penerapan prinsip Crime Prevention Through Environmental Design (CPTED) dalam desain sekolah. Literatur dikumpulkan dari database seperti ScienceDirect dan Google Scholar, dengan kata kunci “school bullying” pada rentang 2014–2024. Studi yang dipilih merupakan penelitian empiris dalam disiplin ilmu sosial, psikologi, dan kesehatan, yang membahas hubungan desain fisik sekolah dan bullying. Kriteria inklusi mencakup studi yang meneliti desain fisik dengan fokus pada keamanan dan pengawasan, serta dampaknya terhadap pengurangan bullying. Studi non-empiris atau yang tidak relevan dikecualikan. Hasil analisis menunjukkan bahwa prinsip CPTED, seperti peningkatan visibilitas dan pengawasan alami, efektif menurunkan kejadian bullying. Area yang terbuka dan mudah diawasi terbukti lebih aman dibandingkan area tersembunyi. Selain itu, desain yang menunjang kenyamanan siswa turut meningkatkan kesejahteraan psikososial dan mencegah risiko gangguan mental di masa depan. Kajian ini juga menyajikan ilustrasi desain sekolah berbasis CPTED sebagai rekomendasi praktis dalam mendukung kebijakan anti-bullying di lingkungan pendidikan.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.003 | 0.017 |
| 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 it