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Record W3118703043 · doi:10.1088/1361-6404/abda8b

On the dynamics of a motorcycle weave

2021· article· en· W3118703043 on OpenAlex
Peter Zizler, Mandana Sobhanzadeh, Ron Ittyipe

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEuropean Journal of Physics · 2021
Typearticle
Languageen
FieldEngineering
TopicVehicle Dynamics and Control Systems
Canadian institutionsMount Royal University
Fundersnot available
KeywordsEigenvalues and eigenvectorsDynamics (music)PhysicsMatrix (chemical analysis)Frame (networking)Plain weaveMechanical engineeringAcousticsEngineeringComposite materialMaterials science

Abstract

fetched live from OpenAlex

Abstract While riding a motorcycle the rider can find the handlebars along with the motorcycle frame to begin to oscillate at a high frequency. This motorcycle weave can be very dangerous as its frequency can be high at high speeds of the motorcycle. We collect evidence as how to avoid this motorcycle weave by numerically analyzing the eigenvalues of a certain matrix polynomial arising from the linearized model for the motorcycle motion. Among other suggestions, our simulations confirm that the rider leaning forward indeed mitigates such a high-speed motorcycle weave. Our model provides a prediction as to what attributes of the motorcycle increase or decrease the chances of the weave occurring.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.575
Threshold uncertainty score0.203

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.006
GPT teacher head0.163
Teacher spread0.158 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it