Domain-Specific Software Language for Crisis Management Systems
Bibliographic record
Abstract
Across the world, various crisis situations occur causing chaos and confusion as to how to deal with them. Hence, finding ways to transmit the necessary information regarding how to handle such incidents to various parties involved in such events is fundamental. As such, the field of crisis management focuses on determining the actions to undertake to quickly respond to the occurrence of a disaster. Ultimately, crisis management systems strive to guide individuals to better prepare themselves for any future encounter of crisis situations. In this paper, we investigate emergency circumstances, mainly natural disasters, to detail the requirements for workflow notations managing them. Taking into account these requirements, we propose a domain-specific software language (DSL) for crisis management based on the Use Case Map (UCM) metamodel. While workflow notations do exist that can model the basic procedures to undergo when a crisis incident occurs, none focuses specifically on crisis management systems or considers the 3D environment in which emergency situations unfold. The proposed DSL provides built-in support for modeling location-based, social media-inspired interactions in the 3D environment of a disaster, allowing crisis experts to author emergency procedures which are subsequently followed by crisis respondents and victims. The long-term goal is to reduce the damages or losses, in terms of property and life, caused by a crisis, benefiting us all as well as the environment we live in.
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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 | 0.000 | 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 | 0.001 | 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 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".