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Record W3162089779

Piecemeal Solutions to Demonstrated Problems of Unfairness: Control of Price Terms in Common Law Canada

2018· article· en· W3162089779 on OpenAlexaffabout
Joshua Karton

Bibliographic record

VenueSSRN Electronic Journal · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicEuropean and International Contract Law
Canadian institutionsQueen's University
Fundersnot available
KeywordsEx-anteLegislatureEconomicsTransparency (behavior)Control (management)Law and economicsGovernment (linguistics)Common lawLawPublic economicsPolitical scienceMacroeconomics
DOInot available

Abstract

fetched live from OpenAlex

This paper is a chapter contribution to an edited volume comparing various national approaches to the control of price terms in consumer and other standard form contracts. This chapter deals with Canadian federal law and that of the common law provinces (i.e. all provinces other than Quebec). Common law Canada displays a marked disjunction between ex ante and ex post price control strategies. The federal government and provinces are avid price regulators, imposing explicit price controls and transparency mandates applicable to many consumer contracts. However, their legislative and regulatory strategy has been a piecemeal one, with most regulations applying to individual industry sectors, in particular those where popular pressure to crack down on deceptive practices or high prices generates political momentum. By contrast, the courts have assigned themselves a strictly limited role in regulating price terms ex post. They continue to hew to traditional notions of freedom of contract, and to invalidate price terms in exceedingly narrow circumstances derived from historically-recognized categories of unfairness—piecemeal solutions of a different kind. Neither the courts nor the legislatures have developed a general theory or policy of contractual unfairness, in standard contracts or otherwise. The overall effect is that ex ante regulation of price terms is stringent where it exists but uneven in application, while ex post control of price terms by the courts is widely available in principle but rarely if ever occurs in practice.

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)0.007
metaresearch head score (Gemma)0.021
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.115
Threshold uncertainty score0.556

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.021
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0150.023
Scholarly communication0.0140.005
Open science0.0030.005
Research integrity0.0050.007
Insufficient payload (model declined to judge)0.0060.000

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 head0.012
GPT teacher head0.261
Teacher spread0.249 · 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 designNot applicable
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
Published2018
Admission routes2
Has abstractyes

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