A longitudinal follow-up study of rescue and recovery narratives of Oklahoma City bombing responders nearly a quarter century later
Bibliographic record
Abstract
BACKGROUND: Most research examining first responders of terrorist incidents has been conducted in early post-disaster periods, utilized quantitative research methods, and focused on psychopathology such as post-traumatic stress. METHODS: Longitudinal follow-up assessments of 124 workers from 181 baseline volunteer rescue and recovery workers originally studied were completed nearly a quarter century after the terrorist bombing of the Murrah Federal Building in Oklahoma City. Open-ended qualitative interviews were used in the follow-up study. RESULTS: The rescue and recovery work, vividly described decades later, was gruesome. These workers' descriptions captured their mental toughness and their professional missions, as well as the emotional and mental health (MH) toll on their lives. CONCLUSIONS: The extreme nature of rescue and recovery work in the aftermath of terrorism suggests potential utility for MH interventions to address the psychological toll that can be expected of human beings under the most extraordinary circumstances.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".