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Record W4396956017 · doi:10.1017/pds.2024.293

The sustainability and social entrepreneurship fellowship: transdisciplinary and multicultural problem-based engineering education

2024· article· en· W4396956017 on OpenAlex
Gordon Krauss, Chris Rennick, Nadine Ibrahim, Sanjeev Bedi

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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueProceedings of the Design Society · 2024
Typearticle
Languageen
FieldEngineering
TopicBiomedical and Engineering Education
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsMulticulturalismSustainabilitySociologySocial entrepreneurshipEngineering ethicsEntrepreneurshipPedagogyEnvironmental ethicsPolitical scienceEngineeringEcologyPhilosophy

Abstract

fetched live from OpenAlex

Abstract The nine-week Sustainability and Social Entrepreneurship Fellowship at the University of Waterloo addressed urban habitation sustainability in London, Ontario, via a multicultural, trans-disciplinary approach. Undergraduate engineering students addressed housing and transportation environmental and social sustainability, guided by expert lectures and fieldwork. The program highlights the importance of diversity in engineering education and the need for structured cultural and educational management. Students proposed engineering solutions to sustainably improve the housing development process.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.903
Threshold uncertainty score0.296

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 head0.007
GPT teacher head0.209
Teacher spread0.202 · 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