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Record W2547561371

"Scholarship as Activism" Chapter 29 in The Unbounded Level of the Mind: Rod MacDonald's Legal Imagination

2015· article· en· W2547561371 on OpenAlexaboutno aff
Kim Brooks

Bibliographic record

VenueKnowledge@SchulichLaw · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicMulticultural Socio-Legal Studies
Canadian institutionsnot available
Fundersnot available
KeywordsLawScholarshipTributeHonourSociologyEconomic JusticeLegal realismLegal professionPolitical science
DOInot available

Abstract

fetched live from OpenAlex

Essays honouring one of Canada’s most brilliant legal minds. Roderick A. Macdonald (1948-2014), internationally renowned for his expertise on access to justice, legal pluralism, and the philosophy of law, was first and foremost a teacher and mentor. He believed in the law as a promise our society makes to itself, and passionately imparted this message to students who went on to become lawyers, judges, and academics. Throughout his career, including participation in several government commissions and tenures as dean of law at McGill University and president of the Law Commission of Canada, he strove to promote ideas that have become woven into our contemporary understanding of unity, reconciliation, accommodation, and social justice. The Unbounded Level of the Mind brings together the fascinating essays developed from presentations made at a symposium, held in February 2014 at McGill’s Faculty of Law, in honour of Rod Macdonald. Eminent legal scholars from Canada and beyond explore various aspects of Macdonald’s rich scholarship, reflecting on the influence this has had on their own work and its implications for the future. Organized around six cross-cutting themes - kaleidoscopic federalism, producing fairness, pluralizing the subject, the priority of distributive justice, contextualizing governance, and pursuing virtue - this volume is both a tribute to Macdonald’s dedication to the law and a call to challenge all assumptions in the quest to better our society.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.781
Threshold uncertainty score0.989

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.156
GPT teacher head0.382
Teacher spread0.225 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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
Published2015
Admission routes1
Has abstractyes

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