University of Waterloo Celebrates Innovation and Entrepreneurship
Bibliographic record
Abstract
The University of Waterloo, School of Pharmacy, held its first Business Awards Ceremony on April 5, 2012. Presented at the ceremony were the Scotiabank Pharmacy Entrepreneurship Award and the Pharmasave Industrial Case Study Competition Award. The Scotiabank Pharmacy Entrepreneurship Competition provides a great opportunity for budding entrepreneurs among the University of Waterloo pharmacy students to pursue new, innovative ventures under the broadly defined umbrella of health care industry. For the 2011 competition, 12 contending individuals or teams submitted comprehensive plans proposing novel enterprises, and the top 3 ventures were then selected to deliver presentations to a panel of stakeholders from various sectors. The winning venture was MyPharmacyPatient, a highly innovative educational platform developed and led by Peter Pagacz, a third-year full-time student at the University of Waterloo, School of Pharmacy. Currently, MyPharmacyPatient is developing an e-learning tool that gives students access to interactive and easy-to-use virtual patient cases. The learning platform will be available on demand to educational institutions and students via the Internet, and is compatible with tablet technology. The grand prize, valued at $15,000 was generously sponsored by Scotiabank and Scotia Private Client Group, with professional services provided in kind by Gowlings and KPMG. (L to R): Roderick Slavcev (University of Waterloo), Elizabeth Heald (Scotia Private Client Group), Peter Pagacz (winner of the Scotiabank Pharmacy Entrepreneurship Competition), Viona Duncan (Gowlings), Paul Smith (Scotiabank) and Jim Whetstone (KPMG). ... The ceremony also saw the awarding of the second annual Pharmasave Industrial Case Study Competition (ICC) Award. The ICC is an incentivized final examination of the comprehensive core “Fundamentals of Business Administration and Management” program. In the past 2 years of implementation, teams of pharmacy students were sought as consultants to analyze and offer strategic solutions toward the self-sustainability of the School's Clinical Capstone program. This “free market” approach to education and assessment was met with overwhelming student enthusiasm and quality of performance. After submitting reports, delivering presentations and defending their proposals to a panel of judges, the winning team — Mihir Patel, Catherine Prochazka, Alia Thawer, Calvin Poon and Vanessa Raco — was chosen to receive the $5000 cash prize, generously sponsored by Pharmasave. These competitions represent only a few of the components of the comprehensive Business Curriculum designed and developed by Dr. Roderick Slavcev, who holds the Shopper's Drug Mart Professor of Business and Entrepreneurship Chair. This comprehensive and multicomponent undergraduate program aligns with the School's mission of generating graduates with the necessary management skills needed to lead the profession of pharmacy.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.004 |
| Scholarly communication | 0.011 | 0.004 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.045 | 0.008 |
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".