Evaluation of the Implementation of a Railway Critical Incident Management and Support Protocol to Help Train Drivers Cope With Accidents and Suicides
Bibliographic record
Abstract
OBJECTIVE: Railway accidents and suicides can have severe psychological consequences for train drivers. This study evaluates the implementation of railway critical incident management and support protocols (CIMSP) by employers. It also identifies environmental factors, characteristics of critical incidents, and types of work relations affecting implementation. METHODS: A longitudinal study was conducted with 74 train drivers. Participants were interviewed 1 week, 1, 3, and 6 months after a critical incident. Correlational analyses were performed to identify factors associated with implementation and satisfaction. RESULTS: CIMSP are generally partially applied by employers when a railway incident occurs. Workers' satisfaction toward implementation of the protocol is moderate. Obstacles to implementation are: geographic isolation, severity of the incident, and poor quality of work relations. CONCLUSIONS: These obstacles should be addressed in CIMSP design and implementation strategies.
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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 | 0.001 | 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) | 0.004 | 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".