The Study on Operationalizing Child Protection in Sri Lankan Schools: Awareness and Practices
Bibliographic record
Abstract
Abstract : Child protection and well-being are central priorities within education systems worldwide, including Sri Lanka. Although national safeguarding policies exist, implementation remains uneven, revealing a gap between policy intent and everyday practice. This study examines how Sri Lankan schools interpret and operationalize child-protection awareness within their institutional, sociocultural, and community contexts. A stratified sample of schools and a purposive sample of stakeholders were drawn from the Piliyandala Educational Zone in Western Province. Using a mixed-methods exploratory sequential design, surveys were administered to teachers (n = 120) and students (n = 300) across twelve urban, semi-urban, and rural schools, alongside semi-structured interviews with principals and child-protection officials (n = 25). Quantitative data were analyzed through descriptive statistics and chi-square tests, and qualitative data were examined thematically. Findings show that schools adopt varied approaches to safeguarding shaped by resources, staff capacity, and community influences. Student awareness of protection concepts was high, yet teacher preparedness was limited, with only 12 percent receiving formal training in trauma support. Institutional mechanisms also varied: Child Protection Committees existed in 42 percent of schools, with only 23 percent functioning effectively, and urban schools showing stronger compliance. Schools relied on internal programmes, government-led initiatives, and NGO-supported activities, although these efforts were fragmented and reactive rather than coordinated. Sociocultural factors, including stigma, hierarchical communication norms, parental instability, and community-level risks—restricted disclosure and weakened prevention. Concerns about confidentiality reduced the use of formal reporting structures, while emerging digital pathways appeared promising within ongoing education reforms. Overall, the study highlights a structural and cultural misalignment between national child-protection commitments and their enactment in schools. Strengthening teacher training, building institutional capacity, expanding community partnerships, and developing secure reporting systems are essential for protective and responsive learning environments. The study provides evidence to guide policy refinement, curriculum development, and targeted safeguarding interventions within Sri Lanka’s education sector.
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.
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 | 0.011 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.004 | 0.006 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 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".