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Record W2170977111 · doi:10.24908/pceea.v0i0.4895

DESIGN WORKSHOP FOR ONTARIO ENGINEERING COMPETITION

2013· article· en· W2170977111 on OpenAlexaffvenueabout
Cheryl M. Pearce, Steve Lambert

Bibliographic record

VenueProceedings of the Canadian Engineering Education Association (CEEA) · 2013
Typearticle
Languageen
FieldEngineering
TopicEngineering Education and Curriculum Development
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsCompetitor analysisCompetition (biology)EngineeringEngineering design processEngineering managementMarketingBusinessMechanical engineering

Abstract

fetched live from OpenAlex

The annual Ontario Engineering Competition (OEC) challenges participants from Ontario engineering schools to identify solutions to challenges experienced by the engineering profession. The competition includes six competition categories: Junior Team Design, Senior Team Design, Parliamentary Debate, Engineering Communications, Consulting Engineering, and Innovative Design. OEC is the regional competition to qualify for the Canadian Engineering Competition (CEC), with the top two placing teams in each category qualifying to participate in the CEC. The University of Waterloo (UW) has held internal competitions to select the debate and technical speaking competitors for many years. The competitors for the innovative design are selected based on a brief proposal. Several years ago, the Engineering Society introduced the Waterloo Engineering Competition (WEC), held twice annually in the Spring and Fall, to select teams to compete in the Junior Team Design, Senior Team Design, and Consulting categories for OEC. In an attempt to provide more guidance to the WEC winners prior to their participation in OEC, the six winning teams were invited to participate in a design workshop. A discussion of the design workshop and student feedback for the past two years will be discussed. A comparative study between the two workshop offerings will be used for future improvements of the WEC and pre-OEC workshop.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.308
Threshold uncertainty score1.000

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 head0.174
Teacher spread0.168 · 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 designNot applicable
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
Published2013
Admission routes3
Has abstractyes

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