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Record W4223498131 · doi:10.3138/utlj-2021-0085

Frontiers of legality: Understanding the public policy exception in choice of law

2022· article· en· W4223498131 on OpenAlexaffvenue
Joanna Langille

Bibliographic record

VenueUniversity of Toronto Law Journal · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicConflict of Laws and Jurisdiction
Canadian institutionsWestern University
Fundersnot available
KeywordsPrinciple of legalityPublic lawLawPolitical scienceMunicipal lawPrivate lawComparative lawDoctrinePhilosophy of lawCommon lawChoice of lawConflict of laws

Abstract

fetched live from OpenAlex

The public policy exception is a notorious part of choice of law doctrine. The exception allows courts to refuse to apply foreign law selected by first-order choice of law rules that violates the forum’s fundamental principles of morality and justice. As a doctrinal matter, public policy is a well-established part of the architecture of choice of law. But scholars have struggled to understand why it should be part of choice of law doctrine, given the normative structure of the field; how to differentiate between the fundamental and non-fundamental norms that inform its use; and how to understand the leading public policy cases in a coherent way. In this article, I offer a solution to these three problems. I argue we should reconceptualize the exception as a means by which courts can analyze the substance of foreign law to ensure that it complies with the rule of law, and thus can be applied ‘as a law’ in the forum. More specifically, public policy is how common law courts ensure that any foreign law they apply complies with the distinctive substantive requirements of the rule of law in the common law tradition – what is known as the common law constitution. Public policy thus defines the frontiers of legality in the common law tradition, and defends against threats from the rule of law that come from beyond the border. This approach justifies the inclusion of the exception in choice of law doctrine, given the field’s other normative commitments. It can also help distinguish between the fundamental and non-fundamental norms that should define the ambit of public policy. Finally, this approach may offer a coherent account of the doctrine, as numerous leading cases can be reinterpreted to track the fundamental principles of legality that inhere in the common law constitution.

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)0.001
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.953
Threshold uncertainty score0.830

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.049
GPT teacher head0.286
Teacher spread0.237 · 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 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

Citations5
Published2022
Admission routes2
Has abstractyes

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