Parallels and contrasts between minorities and the state in Canada and Israel
Bibliographic record
Abstract
Parallels and contrasts between minorities and the state in Canada and Israel\nTORONTO, Sept. 19, 2013 – Israeli human rights activist Hagai El-Ad, New Democratic Party Member of Parliament Craig Scott and Cara Faith Zwibel of the Canadian Civil Liberties Association (CCLA) will discuss “Minorities and the State in Canada and Israel” on Monday, September 23, 2013 from 9 a.m. to 10.20 a.m. in the Helliwell Centre (Room 1014) at York University’s Osgoode Hall Law School. Members of the media are cordially invited to attend.\nThe event is sponsored by York’s Jack & Mae Nathanson Centre on Transnational Human Rights, Crime and Security and the New Israel Fund of Canada, an organization committed to equality and democracy for all Israelis.\nHagai El-Ad is Executive Director of the Association for Civil Rights in Israel (ACRI), the oldest and most established human rights organization in that country. Craig Scott is the Member of Parliament for Toronto-Danforth, previously represented by NDP leader Jack Layton, and the Official Opposition Critic for Democratic and Parliamentary Reform. Cara Faith Zwibel, who received an LLB degree from Osgoode Hall Law School in 2004, is Director of the CCLA’s Fundamental Freedoms Program.\nWHAT: Minorities and the State in Canada and Israel: A Conversation with the Association for Civil Rights in Israel, the New Democratic Party and the Canadian Civil Liberties Association.\nWHEN: Monday, September 23, 2013 from 9 to 10.20 a.m.\nWHERE: Osgoode Hall Law School, York University, Keele Campus, Ignat Kaneff Building, Room 1014 (building 32 on map)\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 28 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 250,000 alumni.\n-30-\nMedia Contact: Virginia Corner, Manager, Communications, 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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.043 | 0.027 |
| Scholarly communication | 0.013 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.007 |
| Insufficient payload (model declined to judge) | 0.007 | 0.000 |
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.
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".