Applying a framework for defining emergency management scenarios
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
Introduction: Scenarios are used extensively to support emergency management (EM). Virtually every user within the community, from policymakers to first responders, uses scenarios in one guise or another. They provide the context to characterize a dynamic problem space, to support the rehearsal of response options, and to facilitate the evaluation of new technology. With such far-reaching implications, there needs to be a means to guide scenario selection.Objective: The Canadian Centre for Security Science sponsored the development of a framework to characterize scenarios and to assist in evaluating EM capabilities, explicitly in the area of chemical, biological, radiological, and nuclear response. The framework also complements capability-based planning and provides a means to share scenarios.Methodology: The Public Safety and Security Planning Scenario Framework assists the EM community, which ranges from the national to the community level, by selecting scenarios based on user perspectives and objectives. In developing the framework, three challenges were addressed: a taxonomy was required to frame and define what constitutes a scenario; parameters were needed to describe and characterize scenarios; and structure was called for to assist in ordering the collection and comparison of representative scenarios.The first challenge involved reviewing existing literature to define the term “scenario.” Typically, scenarios are used to consider near-term threats, to capture planning assumptions, and to provide the perspective necessary to assess concepts and capabilities. The framework proposes a set of criteria or dimensions (eg, risks, triggers, and time horizons) that can be used to characterize scenarios. To test the framework, a representative set of scenarios was cataloged using these dimensions. Analysis of the resulting set was instructive in revealing the differences in planning scenarios across the chemical, biological, radiological/nuclear, and explosive communities. As the framework matures, it is hoped that it will promote information reuse and provide a valuable forum for capturing best practices and developing standards, enhancing efficiency and effectiveness improvements both locally and nationally.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.002 | 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