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
An operator can be regarded as a set of sensors with a feedback algorithm (reflexes and skills), rules, and a knowledge base that are used in stabilizing and controlling an aircraft in a given flight path. Motion cueing devices play a role in the training tool by enabling the trainee to develop proper control strategy (tuning the gains of the feedback algorithm), and to acquire parts of the required set of rules and knowledge base (by simulating representative workload, for example). The motion system and the g-seat both have relative advantages and disadvantages and the choice of one, the other, or both must be made on the basis of an optimal alignment between the training objectives and the capabilities of the training device.This paper will describe an optimized g-cueing seat design and compare its training potential with a standard Stewart motion platform by evaluating their respective effects on the pilot control loop, on the required workload and on their effectiveness in facilitating the training of rulebased and knowledge-based behaviors.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 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 it