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Record W4206255502 · doi:10.1002/iir.1446

The promise and perils of regulating <i>ipso facto</i> clauses

2021· article· en· W4206255502 on OpenAlexaffvenueabout
Janis Sarra, Jennifer Payne, Stephan Madaus

Bibliographic record

VenueInternational Insolvency Review · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicLegal principles and applications
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsRestructuringDe factoCreditorLaw and economicsDirectiveScope (computer science)CounterpartyBusinessEconomicsLawPolitical scienceActuarial scienceDebtFinanceComputer science

Abstract

fetched live from OpenAlex

Abstract It is common for contracts to include a clause that provides that on an event of default the counterparty has an unconditional right to terminate the contract or accelerate payment (an ipso facto clause). The regulation of ipso facto clauses has become a topic of debate in recent years with a number of jurisdictions introducing constraints on such clauses as part of broader restructuring reform packages. These jurisdictions include Germany in 2021 (as part of its implementation of the EU Restructuring Directive) and the United Kingdom in 2020. For jurisdictions introducing such constraints for the first time, there is much to learn from those, such as Canada, that have had constraints on ipso facto clauses in place for much longer. This article examines the experience in Canada alongside the constraints introduced in the United Kingdom, the EU Restructuring Directive and Germany, and identifies a series of steps that policymakers should follow when revising a regime on ipso facto clauses. Although there are a number of common themes that emerge, it is clear that different jurisdictions often make quite distinct policy choices regarding the rationale for any constraints on ipso facto clauses as well as on the specific nature and scope of the provisions. Different jurisdictions find different points of balance between the interests of individual creditors in upholding their freedom of contract and the rights of the debtor and creditors as a whole in preserving the business as a going concern. The range of choices is not per se problematic as long as they are implemented with clarity and transparency, so that debtors and creditors can bargain ex ante in the light of any legislative provisions.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.991
Threshold uncertainty score0.205

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0000.000

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 head0.038
GPT teacher head0.381
Teacher spread0.342 · 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 designNot applicable
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

Citations2
Published2021
Admission routes3
Has abstractyes

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