Bibliographic record
Abstract
<div class="htmlview paragraph">The known “countersteering” theory on how a motorcycle (or bicycle) is steered, fails to explain the sudden steering precision and smoothness gained as soon as the hands are put on the handlebar. We have derived an enhancement to this known countersteering theory that includes servomechanism concepts. The new servomechanism steering theory gives calculated stable speeds that correlate with testing. It explains the steering difference observed with and without hands on the handlebar. It predicts leaning angles in steady state curves that also correlate with testing. It explains how a single track test vehicle can be stable and can be steered with hands on the handlebar, even though it has zero fork angle, zero front trail and skates instead of wheels to have zero gyroscopic forces and zero power. Based on this servomechanism theory, a technique is suggested to develop enhanced motorcycle riding skills. Finally, this servomechanism theory is used to explain how added driving mechanisms can be developed to enhance stability and steering of a motorcycle equipped with roll cage, back rest and seat belts.</div>
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.010 | 0.003 |
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".