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Record W7123373178

Introduction to Critical Conversation in Canadian Public Law

2025· article· W7123373178 on OpenAlexaboutno aff
Joshua Sealy-Harrington, Karen Drake, Kyle Kirkup, Anne Levesque, Jena McGill

Bibliographic record

VenueeYLS (Yale Law School) · 2025
Typearticle
Language
FieldSocial Sciences
TopicFeminism, Gender, and Sexuality Studies
Canadian institutionsnot available
Fundersnot available
KeywordsConversationPoliticsPublic lawPower (physics)Materiality (auditing)Extant taxonPublic discourseLegal profession
DOInot available

Abstract

fetched live from OpenAlex

The introductory chapter to Critical Conversations in Canadian Public Law situates the book "in the midst of some of the most significant social, economic, and political struggles of the past decade", from the COVID-19 pandemic to the Gaza genocide. The introduction describes how the book "seeks to reflect and ignite critical conversations about the centrality of public law and its institutions, broadly defined and deeply contested, to the (re)production of current inequities." It outlines two ways in which the collection is "critical": first, the critical legal methods employed by the contributors (e.g., acknowledging law's political operation, understanding law's relationship with power, and looking beyond descriptive accounts of law to consider its materiality and normativity); and second, "in terms of the importance, urgency, and necessity of deepening our understandings of the relationship between public law and contemporary inequities." Finally, the introduction identifies "five cascading themes reflected across the chapters in this collection—and across our varied experiences with the law—that are pivotal to the law's consistent mobilization to reify extant power disparities in society [...] exceptionalism, capitalism, segmentation, incrementalism, and formalism."

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)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.921
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.032
GPT teacher head0.323
Teacher spread0.292 · 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; both teacher heads agree on what is shown here.

Study designTheoretical or conceptual
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
Published2025
Admission routes1
Has abstractyes

Explore more

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