MEASUREMENT AND MONITORING OF THE EFFECTS OF WORK SCHEDULE AND JET LAG ON THE INFORMATION PROCESSING CAPACITY OF INDIVIDUAL PILOTS, PHASE 2
Bibliographic record
Abstract
This report describes a project to develop methods for providing airline pilots with a personalized index of their fatigue to allow them to monitor the state of their own readiness during flight. The first phase included a task analysis of the types of information processing required of pilots flying the Airbus 320 and Boeing 747. Electroencephalogram (EEG) instrumentation and software were designed to allow recording of gamma activity during flight. In addition, a laboratory study of gamma activity and multitasking (MT) during and after sleep deprivation was implemented to help interpret the data recorded in the air. The second phase involved EEG and MT data collection from ten pilots flying between Vancouver or Toronto and Europe or south-east Asia. Individual indexes of pilots were computed by combining the EEF and MT results. The data suggest the existence of important individual differences to the effect of jet lag on pilots. Recommendations for further research and development conclude the report.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 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) | 0.001 | 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 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".