Tapestries of resilience: An arts-based approach to enhancing the resilience of World Vision’s humanitarian staff
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
Abstract Responding to the impact, community and individuals during a crisis is demanding for humanitarian workers. The need for resilience is crucial for the delivery of effective humanitarian aid and staff long-term emotional endurance. This article describes an arts-based approach aimed at enhancing the resilience of 53 World Vision (WV) staff in Asia at a weeklong Regional Disaster Management Team (RDMT) workshop. The purpose was to introduce responders to embodied artful experiences to develop coping skills and enhance their personal resilience to the impact of the response before, during and after deployment. The arts-based experiential sessions were embraced by the participants, with many acknowledging that they will engage in the arts as a reflexive practice during deployment.
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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 | 0.002 | 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