Survey of Attitudes Toward Aviation Safety Management System (SMS) Training
Bibliographic record
Abstract
Abstract. With a growing volume of traffic, the aviation industry is moving to fully embrace a predictive approach to safety management, which requires the implementation of safety management system (SMS) training on an international scale. An online survey was distributed through an International Civil Aviation Organization (ICAO) State Letter to solicit perceptions of SMS training from a variety of international aviation professionals. The survey collected 1,103 complete responses. The results identified robust differences in how SMS training is perceived by men and women and by professionals from different geographic regions. Female respondents had more negative attitudes toward training than did males. Regarding regional differences, Middle Eastern participants had the most positive attitudes while Europeans reported the most negative attitudes toward SMS training. The data suggest caution is warranted before global distribution of SMS training and illustrate the importance of a learner analysis, as individual differences among learners may impact the effectiveness and adoption of SMSs.
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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 | 0.002 | 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 | 0.002 | 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 | 0.000 |
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".