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Record W2340587273 · doi:10.14288/1.0108451

An investigation into sustainable transport options

2014· article· en· W2340587273 on OpenAlexaboutno aff
Nick de Beaupre, Michaella Londry, Miles While

Bibliographic record

VenuecIRcle (University of British Columbia) · 2014
Typearticle
Languageen
FieldEngineering
TopicBiodiesel Production and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsPurchasingTruckDiesel fuelSustainable transportBusinessSustainabilityFleet managementTransport engineeringEngineeringMarketingOperations managementWaste managementAutomotive engineering

Abstract

fetched live from OpenAlex

The University of British Columbia (UBC) prides itself in being a national leader of sustainable development and studies. The UBC Farm is a center for sustainable learning and teachings. Therefore, it is critical that thorough investigations into sustainable options are completed before the farm makes major purchases. The UBC Farm has asked teams of the APSC 261 course to look into a triple bottom line assessment of sustainable transport options. UBC Farm needs to replace its aging gasoline operated farm and delivery vehicle. The UBC Farm is looking for a new vehicle to use to transport produce to the market, relocate machinery, and transport employees around Vancouver. Requirements given include: must reliably run for at least 3 years, is highly fuel efficient, able to be maintained by the university, by plant-ops garage staff specifically, and is either a small truck or a 10 passenger van. Due to personnel and time constraints three options were investigated: using a car co-op’s services, purchasing a diesel engine vehicle, and purchasing a diesel vehicle and using bio-diesel. The investigation has found that purchasing a diesel vehicle and fueling it with bio-diesel is the recommended choice of action. While Modo has offered discounts on their services, the inconvenience of traveling off campus to find and retrieve a vehicle out ways the potential cost savings and the ability to spread the knowledge of car sharing. Diesel engines are more efficient than conventional gasoline engines, and used vehicles are relatively inexpensive; emissions are a concern with older models. Bio-diesel is available on campus, at the same price as conventional diesel, and has less emission problems as conventional diesel. Furthermore, the bio-diesel is partially renewable and a diesel engine truck will not need to be converted if the model year is after 1994. Investigating all the options, bio-diesel is ultimately the best choice economically, environmentally, and socially. Disclaimer: “UBC SEEDS provides students with the opportunity to share the findings of their studies, as well as their opinions, conclusions and recommendations with the UBC community. The reader should bear in mind that this is a student project/report and is not an official document of UBC. Furthermore readers should bear in mind that these reports may not reflect the current status of activities at UBC. We urge you to contact the research persons mentioned in a report or the SEEDS Coordinator about the current status of the subject matter of a project/report.”

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 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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.936
Threshold uncertainty score0.980

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 head0.005
GPT teacher head0.158
Teacher spread0.153 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations0
Published2014
Admission routes1
Has abstractyes

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