The impact of the school-based Psychosocial Structured Activities (PSSA) program on conflict-affected children in Northern Uganda.
Bibliographic record
Abstract
BACKGROUND: Children in northern Uganda have undergone significant psychosocial stress during the region's lengthy conflict. A Psychosocial Structured Activities (PSSA) program was implemented in 21 schools identified as amongst those most severely affected by conflict-induced displacement across Gulu and Amuru Districts. The PSSA intervention comprised a series of 15 class sessions designed to progressively increase children's resilience through structured activities involving drama, movement, music and art (with additional components addressing parental support and community involvement). METHOD: Eight schools were selected by random quota sampling from those schools receiving the PSSA intervention. Two hundred and three children were identified in these schools as being scheduled to receive intervention, and were followed up 12 months later following engagement with PSSA activities. A comparison group comprised 200 children selected from schools that had met inclusion criteria for receipt of intervention, but were not scheduled for intervention coverage until later. Preliminary research used participatory focus group methodology to determine local indicators of child well-being as viewed by parents, teachers, and children respectively. Pre- and post- assessments focused on ratings for each child - by parents, teachers and children - with respect to these indicators. RESULTS: Significant increases in ratings of child well-being were observed in both intervention and comparison groups over a 12-month period. However, the well-being of children who had received the PSSA intervention increased significantly more than for children in the comparison group, as judged by child and parent (but not teacher) report. This effect was evident despite considerable loss-to-follow-up at post-testing as a result of return of many households to communities of origin. CONCLUSION: General improvement in child well-being over a 12-month period suggests that recovery and reconstruction efforts in Northern Uganda following the onset of peace had a substantive impact on the lives of children. However, exposure to the PSSA program had an additional positive impact on child well-being, suggesting its value in post-conflict recovery contexts.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.002 |
| 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".