Mass-Casualty Events at Schools: A National Preparedness Survey
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
OBJECTIVE: Recent school shootings and terrorist events have demonstrated the need for well-coordinated planning for school-based mass-casualty events. The objective of this study was to document the preparedness of public schools in the United States for the prevention of and the response to a mass-casualty event. METHODS: A survey was mailed to 3670 school superintendents of public school districts that were chosen at random from a list of school districts from the National Center for Education Statistics of the US Department of Education in January 2004. A second mailing was sent to nonresponders in May 2004. Descriptive statistics were used for survey variables, and the chi2 test was used to compare urban versus rural preparedness. RESULTS: The response rate was 58.2% (2137 usable surveys returned). Most (86.3%) school superintendents reported having a response plan, but fewer (57.2%) have a plan for prevention. Most (95.6%) have an evacuation plan, but almost one third (30%) had never conducted a drill. Almost one quarter (22.1%) have no disaster plan provisions for children with special health care needs, and one quarter reported having no plans for postdisaster counseling. Almost half (42.8%) had never met with local ambulance officials to discuss emergency planning. Urban school districts were better prepared than rural districts on almost all measures in the survey. CONCLUSIONS: There are important deficiencies in school emergency/disaster planning. Rural districts are less well prepared than urban districts. Disaster/mass-casualty preparedness of schools should be improved through coordination of school officials and local medical and emergency officials.
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 | 0.001 |
| 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.003 |
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