Impact of SALT on Community and Volunteers after the 2018 Floods in Kerala A Realist Evaluation
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
Volunteers are mobilised to provide psychosocial support in disaster situations despite their limited expertise and potential risk to mental health. This article examines the impact of a one-month SALT (Support, Appreciate, Listen, Team) based psychosocial intervention used by volunteers in communities affected by the 2018 Kerala floods. The results indicate positive psychosocial impact including mutual care, realisation of inner strengths, and enhanced community cohesion. The study also found that volunteers experienced positive personal growth and vicarious resilience. More research is needed to understand the pathways for translating SALT principles to sustained community building, reduced volunteer distress and enhanced volunteer resilience during volunteering and growth post the volunteering.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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