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Record W1778730871 · doi:10.24908/pceea.v0i0.3602

Design of a sustainable personal mobility system (SPMS)

2011· article· en· W1778730871 on OpenAlexaffvenue
Ralph O. Buchal, Adam Day, Jrw Robinson

Bibliographic record

VenueProceedings of the Canadian Engineering Education Association (CEEA) · 2011
Typearticle
Languageen
FieldEngineering
TopicElectric Vehicles and Infrastructure
Canadian institutionsWestern University
Fundersnot available
KeywordsGreenhouse gasSustainabilityPersonal mobilityRenewable energyEnvironmental economicsSustainable transportTheme (computing)Sustainable developmentGlobal warmingEngineering managementTransport engineeringBusinessEngineeringComputer scienceTelecommunicationsClimate changeEconomics

Abstract

fetched live from OpenAlex

Engineers must consider social and environmental impacts of engineering, particularly sustainability. Student design projects should help develop this competency. A suitable theme is design to address the challenge of global warming. Personal transportation is a major contributor to greenhouse gas (GHG) emissions, and students at Western have worked for several years on the design of a Sustainable Personal Mobility System (SPMS). SPMS is a vehicle sharing system using ultralight electric vehicles (ULVs) powered by renewable energy. Western undergraduate students have developed and analysed the SPMS concept, and have concluded that it is feasible to provide convenient and cost-effective personal mobility while reducing GHG by at least 85% compared to private cars. The design of a suitable ULV would be an excellent new direction for student projects, including existing solar car teams.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.007
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0070.002

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 head0.005
GPT teacher head0.161
Teacher spread0.156 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2011
Admission routes2
Has abstractyes

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