Perceptions of Psychosocial Training on Behavioural Responses in Emergency Operations Centres
Bibliographic record
Abstract
When a disaster strikes, the well-being of Emergency Operations Centre (EOC) personnel is often not the first priority for emergency managers working to help provide support to their local community and the incident command site. Through the development and testing of an iterative series of simulation exercises with EOC personnel, this study identified adverse psychosocial outcomes that may emerge within an EOC during an emergency. Having identified a number of practices which led to less than desired psychosocial outcomes, researchers developed a training and awareness video to identify the practices and demonstrate strategies to overcome negative impacts. A comparative analysis was undertaken to compare EOC actions pre- and post-exposure to the video. The results indicated a change in behaviour following the viewing of the video and supported training initiatives that stress the importance of strong leadership in an EOC, encouraging staff to take breaks, respecting diversity, and providing psychosocial support.
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How this classification was reachedexpand
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 | 0.001 | 0.001 |
| 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 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 teacher head, 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".