Entrepreneurship Curricula And Competitions In The Faculty Of Engineering Of The University Of Ottawa
Bibliographic record
Abstract
Engineers Canada has identified entrepreneurship, innovation, and creativity as one of the five core sets of values for the engineering profession in Canada.According to the Canadian Academy of Engineering, creativity and innovation are indispensable qualities for engineers.Over the years, Canadian engineering schools have developed a number of curricular and extracurricular activities and programs in order to increase the exposure of engineering students to these important topics.The Faculty of Engineering of the University of Ottawa is a medium-size (by Canadian standards -1,800 undergraduate and 600 graduate students; 115 regular faculty and 65 staff members) school that offers undergraduate and graduate programs in a number of engineering disciplines (biomedical, chemical, civil, computer, electrical, environmental, mechanical, software) and in computer science.Because of the bilingual nature of the University of Ottawa, students can choose to complete their studies in either one, or both, of Canada's official languages.At the undergraduate level, the Faculty offers an option in engineering management and entrepreneurship in six (6) of its eight (8) engineering programs.In 2006, the Faculty established the $2-M Entrepreneurship and Innovation Endowment Fund (EIEF), thanks to an initial $1-M donation from an anonymous alumnus.Operating under the guidance of an expert Advisory Board, the EIEF has allowed the Faculty to create a bi-annual lecture series on entrepreneurship and innovation (Entrepreneurship Bridges Lecture Series) as well as two entrepreneurship competitions for undergraduate and graduate students respectively.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.008 | 0.001 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".