Individual Predictors of Traumatic Reactions in Firefighters
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
Increasingly, theorists and researchers in the area of trauma are pointing to the importance of individual differences in resilience and vulnerability as key determinants of the intensity and duration of trauma-related symptoms. Determining the relative influence of individual predictors is important for the further development of theoretical models for understanding trauma responses and for the subsequent development of intervention strategies that are sensitive to individual differences. This study explores the influence of individual factors and social support on traumatic reactions in firefighters exposed to tragic events in the line of duty. A total of 164 Australian firefighters completed questionnaires targeting locus of control, self-efficacy, patterns of interpersonal relating, social support and level of emotional distress. Results indicate that individuals with feelings of insecurity, lack of personal control, and alienation from others were more likely to experience higher levels of depression and posttraumatic stress symptoms subsequent to exposure to traumatic events on the job.
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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 | 0.000 | 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