Osgoode Professional Development helps internationally-trained lawyers with new online course unique in Canadian legal education
Bibliographic record
Abstract
Osgoode Professional Development helps internationally-trained lawyers with new online course unique in Canadian legal education\nTORONTO, April 9, 2015 – Osgoode Professional Development (OsgoodePD) – a world leader in law school lifelong learning – will use a substantial award from the Ontario Ministry of Citizenship, Immigration and International Trade to create an innovative online exam preparation course to help internationally-trained lawyers who are Ontario newcomers qualify to practise in the province.\nThe new course, which goes live in June, will provide a high-quality, multi-media learning experience including quizzes and assessment of practice exam answers, and is a major step forward in digital legal education in Canada. For many internationally-trained lawyers, the first step toward becoming licensed to practise in Ontario is successful completion of examinations in Canadian law set by the National Committee on Accreditation (NCA). Since 2010, OsgoodePD has offered an exam preparation course at its facilities in downtown Toronto in a face-to-face lecture format.\nOn April 7, The Honourable Michael Chan, Minister of Citizenship, Immigration and International Trade, announced that OsgoodePD has been awarded up to $572,431 over a three-year period to cover the costs of converting the four existing modules covering Foundations of Canadian Law, Criminal Law, Administrative Law and Constitutional Law from face-to-face lecture formats to online formats. In addition, the funding will be used to create a new online module for Professional Responsibility, a module with information about how to qualify as a lawyer in Ontario, and the development of an online community for NCA Exam Prep Program alumni.\nOsgoodePD’s new course is one of 10 new Ontario Bridge Training Projects announced by Chan to help more than 6,000 internationally-trained people find jobs that match their skills and experience.\nVictoria Watkins, Assistant Dean & Executive Director of OsgoodePD, said its unique Online NCA Prep Program is intended to make preparation for the NCA exams more effective, accessible and affordable than existing face-to-face offerings.\n“By making these courses available online and on-demand, participants have the flexibility to take the courses at a pace that fits their schedules. Those living outside of Toronto will no longer incur the additional costs of travel and accommodation in Toronto,” Watkins said.\n“Another key benefit of taking the course online is that students can go over material and do the sample exam questions as many times as they need to. This is a significant improvement over traditional face-to-face lectures, particularly for those whose first language is not English.”\n“Ultimately, the goal is to have students do well on the exams and feel comfortable and confident in their knowledge of Canadian law as they pass into the next phase of the licensing process.”\nOsgoode Professional Development, which operates out of facilities at Yonge and Dundas Streets in downtown Toronto, offers both credit and non-credit programs for Canadian and international lawyers, paralegals, non-law professionals, and firms and organizations. For more information about the Online NCA Prep Program, please click here.\n-30-\nYork University is helping to shape the global thinkers and thinking that will define tomorrow. York U’s unwavering commitment to excellence reflects a rich diversity of perspectives and a strong sense of social responsibility that sets us apart. A York U degree empowers graduates to thrive in the world and achieve their life goals through a rigorous academic foundation balanced by real-world experiential education. As a globally recognized research centre, York U is fully engaged in the critical discussions that lead to innovative solutions to the most pressing local and global social challenges. York U’s 11 faculties and 27 research centres are thinking bigger, broader and more globally, partnering with 288 leading universities worldwide. York U’s community is strong − 55,000 students, 7,000 faculty and staff, and more than 275,000 alumni.\nMedia Contact:\nVirginia Corner, Communications Manager, Osgoode Hall Law School of York University, 416-736-5820, vcorner@osgoode.yorku.ca
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.009 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.200 | 0.040 |
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".