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Record W4210863005 · doi:10.1093/indlaw/dwac001

The Future of the Employment Contract

2022· article· en· W4210863005 on OpenAlexaboutno aff
Hugh Collins

Bibliographic record

VenueIndustrial Law Journal · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicLegal principles and applications
Canadian institutionsnot available
Fundersnot available
KeywordsStatuteScholarshipCommon lawClosing (real estate)FiduciaryLawWork (physics)Judicial opinionPolitical scienceFair dealingLaw and economicsLiabilitySociologyGood faithDutyEngineering

Abstract

fetched live from OpenAlex

In this thought-provoking book, Douglas Brodie speculates on the possible implications and future evolution of recent judicial developments of the common law of contract for the contract of employment. He mainly relies on the case law of England and Wales and Canada, with some other references to Scotland, Australia and the USA. At the core of the book is a discussion of the impact of relational contract scholarship and the growing judicial use of the standard of good faith in performance of contracts. The book also gives some attention to other topics: employment as a fiduciary relationship (chapter 2), the potential impact of enterprise liability (chapters 3–5), and the relationship between the common law and statute (chapter 12). There is an introductory chapter about ‘judicial values’, and a convenient summary of the predictions of future developments appears in the closing chapter. The work draws on previously published essays, but includes substantial new work. The methodology is almost entirely an analysis of judicial decisions. Reference to the extensive scholarly literature is sparse and then often to the author’s own publications.

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)0.003
metaresearch head score (Gemma)0.006
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: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.043

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.015
Scholarly communication0.0090.008
Open science0.0010.003
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0100.001

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 head0.047
GPT teacher head0.310
Teacher spread0.263 · 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
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

Citations15
Published2022
Admission routes1
Has abstractyes

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