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Record W4385537479 · doi:10.1515/9780773548916-005

A Yankee Gets Schooled in King Arthurs’s Court: Canadian Labour Law as a Cautionary Tale

2017· book-chapter· en· W4385537479 on OpenAlexaboutno aff
Cynthia Estlund

Bibliographic record

VenueMcGill-Queen's University Press eBooks · 2017
Typebook-chapter
Languageen
FieldSocial Sciences
TopicLabor Movements and Unions
Canadian institutionsnot available
Fundersnot available
KeywordsYankeeLawPolitical science

Abstract

fetched live from OpenAlex

Harry Arthurs has managed to be both mourner-in-chief for the impending demise of the aging “Wagner model” of labour relations that Canada and the United States share, and an aspiring architect of the future of work law in North America and beyond. From his lofty perch, he has chronicled the arc of organized labour’s rise and decline, on this continent and beyond. Never losing sight of the forest for the trees, and armed with a consummate erudition and eloquence, Harry has become a kind of labour law prophet for the advanced capitalist world, and especially for its Anglo-American regions. I write as one of his humble American followers. Harry’s importance to American labour lawyers and scholars stems partly from the location of his perch in Canada. We in the United States could learn a great deal—if we were capable of learning it—from Canada and the trajectory of its labour law regime. Of course, Harry would be the first to caution us about the complexity of cross-country learning. But if any two national labour law systems are “mutually intelligible,” ours should be. Canada’s basic framework for union organizing and collective bargaining was famously modelled on ours. It is a striking illustration of the “extraterritorialization of American labor law.” Our National Labor Relations Act (NLRA ), or Wagner Act, of 1935 served as a model for Canadian reformers in the mid-twentieth century, and the basic features that distinguish the Wagner model from much of the developed world—enterprise-based bargaining, exclusive representation, and majority rule—are still at the core of both systems. Yet, Canada has largely escaped one central pathology of American labour law: its sheer obduracy. Canadian labour law thus suggests some paths not taken in the United States.

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)0.004
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.123
Threshold uncertainty score0.890

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.013
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0630.016
Scholarly communication0.0160.005
Open science0.0030.004
Research integrity0.0130.015
Insufficient payload (model declined to judge)0.0110.001

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 head0.016
GPT teacher head0.235
Teacher spread0.220 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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
Published2017
Admission routes1
Has abstractyes

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