Mentoring for the Wellbeing of Pilots: Innovative Mentoring in the Field of Aviation
Bibliographic record
Abstract
Abstract The profession of an airline pilot is considered one of the most stressful occupations globally. Pilots undergo constant rigorous training and testing and are held responsible for their wellbeing and the safety of themselves and those whom they transport. Additionally, the work environment of an airline pilot is conducive to Work Related Stress (WRS). As a means of aiding pilot WRS and to promote greater safety and wellbeing, Seattle-based Horizon Air (an affiliate of Alaska Airlines) formalized and expanded its mentoring programs. This chapter will present the innovative mentoring practices undertaken by Horizon Air to improve the wellbeing of pilots in their organization and the airline industry as a whole. Specifically, information will be presented regarding the impacts of mentoring on the wellbeing of pilots in Horizon Air’s Pilot Development Mentor Program, New Hire Mentor Program, and Captain Upgrade Mentor program.
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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 | 0.000 | 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 | 0.000 |
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".