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Record W4415769809 · doi:10.1093/ajcl/avaf016

Standard Form Contracts and the Erosion of Consent: Is There No Turning Back?

2025· article· en· W4415769809 on OpenAlexaboutno aff
Michelle Cumyn

Bibliographic record

VenueThe American Journal of Comparative Law · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicEuropean and International Contract Law
Canadian institutionsnot available
Fundersnot available
KeywordsStandard of careErosionUnconscionabilityForce majeureCommon law

Abstract

fetched live from OpenAlex

Abstract This Article draws on sources from Canada, England, France, Germany, and the United States to appraise Western law’s treatment of standard form contracts. Courts currently recognize standard clauses as express contractual terms, even when it would not be reasonable to expect adhering parties to read and understand them. Standard forms are undemocratic because they replace common default rules by “the law of the firm.” Reviewing standard forms to suppress unfair clauses is not enough. It is proposed that the courts should adopt a higher threshold for consent by taking seriously the opportunity to read, which was always a condition for incorporating standard clauses. Courts should require the drafting party to produce a readable form, taking into consideration a form’s intended audience, content, and context. A form that is not readable should be denied incorporation into the contract. In most instances, a contract exists independently of the form and is effective without it.

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)0.035
metaresearch head score (Gemma)0.090
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 score0.048
Threshold uncertainty score0.183

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0350.090
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0050.053
Scholarly communication0.0120.020
Open science0.0030.006
Research integrity0.0100.011
Insufficient payload (model declined to judge)0.0070.001

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 head0.032
GPT teacher head0.353
Teacher spread0.320 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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