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Record W7038844087

Labour and Employment Law: Cases, Materials, and Commentary, 9th ed.

2018· article· en· W7038844087 on OpenAlexaboutno aff

Bibliographic record

VenueeYLS (Yale Law School) · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicDigital Economy and Work Transformation
Canadian institutionsnot available
Fundersnot available
KeywordsLabour lawCasebookCharterCollective bargainingCommon lawFreedom of associationInternational lawPublic law
DOInot available

Abstract

fetched live from OpenAlex

Since the publication of the first edition in 1970, Labour and Employment Law: Cases, Materials, and Commentary has become the standard resource for labour and employment law courses across Canada. Prepared by a national group of academics — the Labour Law Casebook Group — the book has continued to evolve with each new edition, reflecting the considerable changes that have occurred in Canadian workplaces and the laws governing them. A great many changes throughout the book respond to the numerous developments in labour and employment law since 2011. The most high-profile of these has been the set of Charter decisions that extend the protection of freedom of association to include the right to choose an independent bargaining agent and the right to strike, and which rely significantly on international labour standards in doing so. Additionally, this new edition responds to the growing importance of international and transnational law with a completely revised chapter; focuses on the gig economy and the proliferation of contracting networks that have fissured workplace relations; provides examples of caselaw and policy discussions grappling with the reach of legal responsibility to workers in these new relationships; and deepens the treatment of the rights of dependent contractors at common law and under labour and employment legislation. New cases and other source material have been added, and material that appeared in previous editions has been updated. The result is a comprehensive and thoroughly contemporary volume that benefits from over forty-five years of use in law schools across the country, while at the same time taking advantage of cutting-edge scholarship in assessing issues of contemporary concern. [From Labour and Employment Law 9/e - Irwin Law]

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)0.000
metaresearch head score (Gemma)0.000
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 score0.979
Threshold uncertainty score0.978

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.014
GPT teacher head0.260
Teacher spread0.246 · 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
Published2018
Admission routes1
Has abstractyes

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