New Osgoode clinic offers employment law services to Jane-Finch community
Bibliographic record
Abstract
TORONTO, March 7, 2016 – Residents of the Jane-Finch community who are facing employment law issues are about to get a helping hand from the Community and Legal Aid Services Programme (CLASP) at York University’s Osgoode Hall Law School.\nCLASP – a free legal clinic at Osgoode that helps York University undergraduate students and low-income persons in Toronto, with priority given to Jane-Finch residents – will officially launch its new Employment Law Division one-year pilot project on Thursday, March 10, 2016 with a reception from 4 to 6 p.m. in the Goodmans LLP Junior Common Room (1017) at the Law School.\nThe Employment Law Division will assist clients with employment agreements; employment insurance; employment standards; health and safety reprisals; human rights in the workplace; and wrongful dismissal.\nEmployment lawyer Phanath Im will serve as the Review Counsel for the Employment Law Division. She will supervise Osgoode students who will represent clients in negotiations and mediations as well as in litigation at the Ontario Labour Relations Board, Human Rights Tribunal of Ontario, Social Security Tribunal of Canada, and Small Claims Court in Toronto.\nIn addition, the students will engage in community outreach and law reform initiatives and present public legal education sessions in the community about matters related to employment law.\nIm, who graduated from Osgoode in 2010, is a former CLASP Division Leader and former volunteer Senior Editor for Jane-Finch.com. The first Cambodian-Canadian to be called to the Ontario Bar, she worked at the Ontario Ministry of Labour prosecuting health and safety offences and representing the Director of Employment Standards in employment standards appeals. Later, she moved into private practice, where she worked with leading employment lawyers and represented both employers and employees on a wide range of employment law issues.\n“As a resident of Jane-Finch’s government-subsidized housing projects for over 20 years, I have a unique understanding of the issues facing the community and a personal interest in advocating for its residents,” Im said. “I will bring a balanced understanding of employment law issues gained from representing both employers and employees in legal disputes, and acting as a prosecutor and defence counsel.”\nThe addition of employment law complements the other legal services offered by CLASP that include administrative law (tenant rights, Ontario Disability Support Program appeals, Criminal Injuries Compensation Board applications, human rights), criminal law, immigration law and family law. Funding for CLASP’s Employment Law Division is being provided by Legal Aid Ontario, which announced last fall that it would increase the funding of each of Ontario’s seven student legal aid clinics by $100,000 annually.\n“This funding has allowed CLASP to have a division devoted to employment law for the first time,” said Im, who has engaged in extensive consultations with community groups, residents and non-profit organizations in Toronto and the Jane-Finch community to identify recurring employment law issues and determine the best types of service the new Employment Law Division can offer.\n“CLASP’s Employment Law Division will respond to the needs in the Jane-Finch community in particular by increasing access to justice, and help law students gain invaluable experience in employment law and workers’ rights.”\nCLASP is currently accepting a limited number of employment law cases, and will expand its intake starting on Tuesday, May 24, 2016. Call 416-736-5029 if you know of someone who may benefit from legal information or representation with respect to an employment law issue.\n-30-\nYork University is known for championing new ways of thinking that drive teaching and research excellence. Our 52,000 students receive the education they need to create big ideas that make an impact on the world. Meaningful and sometimes unexpected careers result from cross-discipline programming, innovative course design and diverse experiential learning opportunities. York students and graduates push limits, achieve goals and find solutions to the world’s most pressing social challenges, empowered by a strong community that opens minds. York U is an internationally recognized research university – our 11 faculties and 24 research centres have partnerships with 200+ leading universities worldwide.\nMedia Contact: Virginia Corner, Communications Manager, Osgoode Hall Law School of York University, 416-736-5820 or 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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.523 | 0.074 |
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".