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Record W7070646421

Osgoode Hall Law School Marks Komagata Maru Week

2014· article· en· W7070646421 on OpenAlexaboutno aff

Bibliographic record

VenueeYLS (Yale Law School) · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicLegal and cultural studies analysis
Canadian institutionsnot available
Fundersnot available
KeywordsRefugeeFilm directorImmigrationDocumentary filmPeriod (music)International law
DOInot available

Abstract

fetched live from OpenAlex

Osgoode Hall Law School Marks Komagata Maru Week\nTORONTO, March 5, 2014 – To commemorate the 100th anniversary of the Komagata Maru episode when Canada turned away 376 migrants of South Asian origin aboard a Japanese steamship in Vancouver’s Burrard Inlet, the South Asian Law Students’ Association (SALSA) at York University’s Osgoode Hall Law School is launching Komagata Maru Week (March 10-15) and the Komagata Maru Reflections Project.\nThe media is invited to attend a series of events, including an exhibit (the Komagata Maru Reflections Project), an award-winning documentary and several lectures, in recognition of the anniversary.\nThird-year Osgoode student and SALSA member Avnish Nanda and Osgoode Professor Sean Rehaag, an immigration and refugee law expert, are available for media interviews. Rehaag can draw comparisons between the migratory laws, policies and discourses that existed during the period of the Komagata Maru and more recent immigration/refugee reforms.\nDuring Komagata Maru Week at Osgoode, a portion of the Sikh Heritage Museum of Canada’s Komagata Maru Collection will be displayed in the Osgoode Hall Law School Library, Ignat Kaneff Building, Keele campus, during regular library hours.\nOther Komagata Maru Week events include:\nMonday, March 10, 12.30 to 2.30 p.m., Moot Court, Ignat Kaneff Building: Screening of the documentary, A Continuous Journey, followed by a Q+A session with Ali Kazimi, filmmaker and Associate Professor in York’s department of film.\nTuesday, March 11, noon to 2 p.m., Moot Court, Ignat Kaneff Building: University of Toronto Professor Audrey Macklin will discuss, “Getting to We: The Komagata Maru, the Unmaking of Empire and the Making of a Settler Society.” The lecture is co-sponsored by SALSA, the Canadian Association of Refugee Lawyers (Osgoode Student Branch), the South Asia Research Group and United South Asians at York.\nWednesday, March 12, 12.30 to 2.30 p.m., Helliwell Centre for Innovation in Dispute Resolution, Ignat Kaneff Building: Pardeep Nagra, Executive Director of the Sikh Heritage Museum of Canada, will discuss “Sikhs in Canada: The Legacy of the Komagata Maru.”\nThursday, March 13, 6 to 8 p.m., Law Society of Upper Canada, 130 Queen St. W., Toronto: Former British Columbia Premier Ujjal Dosanjh will discuss “Why Apologizing for Historical Wrongs is Wrong.” The lecture is co-sponsored by SALSA and the Osgoode Alumni Association.\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 250,000 alumni. Media Contact: Virginia Corner, Communications Manager, Osgoode Hall Law School of York University, 416-736-5820, vcorner@osgoode.yorku.ca

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.845
Threshold uncertainty score0.572

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.002
Scholarly communication0.0090.002
Open science0.0010.004
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.5990.214

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.

Opus teacher head0.016
GPT teacher head0.257
Teacher spread0.241 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2014
Admission routes1
Has abstractyes

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