MétaCan
Menu
Back to cohort
Record W2336042886

Sustainable Design in a Second Year Engineering Design Course

2010· article· en· W2336042886 on OpenAlexaffabout
Warren Stiver

Bibliographic record

VenueInternational journal of engineering education · 2010
Typearticle
Languageen
FieldEngineering
TopicEngineering Education and Curriculum Development
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsCurriculumCreativitySustainabilitySustainable designEngineeringEngineering ethicsEngineering managementObligationEngineering design processEngineering educationTest (biology)Social responsibilityDesign educationSociologyPedagogyPolitical scienceBusinessPublic relationsMechanical engineering
DOInot available

Abstract

fetched live from OpenAlex

Engineers have a primary responsibility to help society develop sustainably. Engineering education has an obligation to integratesustainable design principles into the curriculum of all engineers. This paper describes the integration of sustainable design principlesinto a second year engineering design course taken by all engineering students at the University of Guelph. The approach requiresstudents to develop and measure their design-build-test project from three specific measures to reflect economic, societal andenvironmental dimensions of their system. Many students are able to understand the challenges associated with succeeding by all threemeasures within the same design. These students see the importance of creativity and innovation in overcoming the apparent conflicts.However, it is also evident that the efforts to date are not sufficient to deeply embed sustainable design thinking in all of the students.

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)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.016
Threshold uncertainty score0.053

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0040.001
Scholarly communication0.0040.001
Open science0.0020.003
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0160.005

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 head0.232
Teacher spread0.227 · 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 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

Citations10
Published2010
Admission routes2
Has abstractyes

Explore more

Same venueInternational journal of engineering educationSame topicEngineering Education and Curriculum DevelopmentFrench-language works237,207