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Record W3124239048

Pseudo-Contract and Shared Meaning Analysis

2019· article· en· W3124239048 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueHarvard Law Review · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicLegal principles and applications
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsBoilerplate textSeverabilityFrustration of purposeExclusion clauseUnconscionabilityContract theoryLawObligationLaw and economicsContract managementSociologyPolitical sciencePrivity of contractBusinessEconomics
DOInot available

Abstract

fetched live from OpenAlex

Over the last several decades, courts and legal scholars have struggled with whether or when to consider boilerplate text as contract. Recent attempts to draw all boilerplate text into “contract” seek to end that struggle but have shifted contract law away from its traditional focus on enforcing parties’ actual agreements and common understandings. This has required a series of ad hoc “fixes” to contract law reminiscent of the medieval use of “epicycles” to try to square geocentric theories of planetary motion with recalcitrant observations of a nongeocentric universe. This shift has been transforming the meanings of contract law’s central concepts. We view the shift as an undiagnosed paradigm slip, resulting in a generalized theory of “contract” as a mere assumption of risk that allows private obligations to be created unilaterally without reaching the actual agreements required by core contract law principles. Some now call this new sort of obligation “contract.” But it is pseudo-contract, resembling contract without fulfilling its necessary conditions of validity. The recent paradigm slip into pseudo-contract raises a complex blend of linguistic, factual, conceptual, practical, normative, and doctrinal problems. Under the mantle of “contract,” the problems of pseudo-contract have remained largely hidden. In this Article we expose these problems and develop a more nuanced and coherent method of analysis — shared meaning analysis — that courts and other legal analysts can use to determine when any particular piece of boilerplate text does, or does not, contribute an actual term to a contract. Because facts about language have received insufficient attention in discussions of how boilerplate text may (or may not) contribute to contract meaning, we launch our analysis by developing several seminal insights into the dependence of meaning on social cooperation from the language philosopher Paul Grice. Drawing on his insights into language, we develop a contemporary definition of the shared meaning of a contract (or the “common meaning of the parties”) as that meaning that is most consistent with the presupposition that both parties were using language cooperatively to contract. We then offer a simple conceptual test that courts can use to discern this shared meaning, distinguish contractual from noncontractual uses of boilerplate text, and prevent contract from slipping into pseudo-contract. We pay particular attention to diagnosing deceptive or misleading uses of boilerplate text. Using examples ranging widely from clickwrap consumer contracts to high-end boilerplate contracts between sophisticated parties, we show how shared meaning analysis applies generally to many varieties of contract.

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.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.997
Threshold uncertainty score0.999

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.001

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 head0.025
GPT teacher head0.317
Teacher spread0.293 · 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