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Record W2910957759 · doi:10.24908/pceea.v0i0.13058

Teaching Engineering Innovation, Design, and Leadership in a Community of Practice

2018· article· en· W2910957759 on OpenAlex

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.
fundA Canadian funder is recorded on the work.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueProceedings of the Canadian Engineering Education Association (CEEA) · 2018
Typearticle
Languageen
FieldEngineering
TopicEngineering Education and Curriculum Development
Canadian institutionsUniversity of Alberta
FundersUniversity of Alberta
KeywordsCommunity of practiceEngineering ethicsWork (physics)EngineeringEntrepreneurshipOvertimeEngineering managementProcess (computing)SociologyPedagogyPolitical scienceComputer scienceMechanical engineering

Abstract

fetched live from OpenAlex

Process design is taught by instructors with adiverse mix of industrial and academic experience. Theinstructors work in close collaboration with workingprofessional engineers including industrial technicalspecialists, entrepreneurs, and academic colleagueswith an industrial focus to prepare unique processdesign projects and to advise student teams. Many of theindustry advisors are long term contributors and overtime some have been recruited as instructors for thedesign course. This community of practice offersstudents a window on engineering design practice andinnovation as they transition to the professionalcommunity. This paper explores the contribution of thecommunity of practice to student development, theachievement of the Canadian Engineering AccreditationBoard (CEAB) graduate attributes, and the developmentof an innovation ecosystem.

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)0.001
metaresearch head score (Gemma)0.003
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 score0.525
Threshold uncertainty score0.710

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.028
GPT teacher head0.228
Teacher spread0.200 · 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