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Record W7029974303

Michael Tulloch of the Ontario Court of Appeal to Receive Inaugural Lincoln Alexander Award at Osgoode Black History Month Celebration

2013· article· en· W7029974303 on OpenAlexaboutno aff

Bibliographic record

VenueeYLS (Yale Law School) · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsParliamentTributeAppealGovernorGeorge (robot)
DOInot available

Abstract

fetched live from OpenAlex

Michael Tulloch of the Ontario Court of Appeal to Receive Inaugural Lincoln Alexander Award at Osgoode Black History Month Celebration\nWHAT\nThe Black Law Students’ Association (BLSA) at York University’s Osgoode Hall Law School will present the inaugural The Honourable Lincoln Alexander ’53 Award to Mr. Justice Michael Tulloch ‘89, for his leadership, vision and passionate dedication to the community, as part of Osgoode's Black History Month celebrations. In 2012, Justice Tulloch became the first black judge to be appointed to the Court of Appeal.\nThe BLSA created the award to pay tribute to the pioneering efforts of Alexander, the first black member of Canada’s Parliament and the 24th Lieutenant Governor of Ontario, who passed away in 2012.\nIn addition, the BLSA plans to recognize the leadership and contributions of other Osgoode alumni including retired judge George Carter ’48; the late Leonard Braithwaite ’58, who was the first black Canadian to be elected to the Ontario Legislature; and Margarett Best ’95, MPP Scarborough-Guildwood.\nWHEN\nMonday, February 11, 2013 from 3 to 4 p.m.\nWHERE\nOsgoode Hall Law School of York University, Gowlings Hall (main floor)\n4700 Keele Street, Toronto, ON M3J 1P3\nBuilding 32 on MAP\nFURTHER INFORMATION\nVirginia 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)0.006
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 score0.312
Threshold uncertainty score0.987

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0180.002
Scholarly communication0.0050.002
Open science0.0010.002
Research integrity0.0080.008
Insufficient payload (model declined to judge)0.3080.092

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 head0.012
GPT teacher head0.217
Teacher spread0.204 · 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
Published2013
Admission routes1
Has abstractyes

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