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Record W2163405423

Risk Distribution and the Law of Torts: Carrying Calabresi Further

2014· article· en· W2163405423 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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueLaw and Contemporary Problems · 2014
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicLaw, Economics, and Judicial Systems
Canadian institutionsnot available
FundersYork University
KeywordsTortDistributive justiceDistributive propertyPareto principleEconomicsUnjust enrichmentContext (archaeology)AutonomyLaw and economicsDamagesNormativeLiabilityLawEconomic JusticePolitical scienceMicroeconomicsRestitution
DOInot available

Abstract

fetched live from OpenAlex

In a seminal article written almost 50 years ago, Guido Calabresi explained that risk distribution is an ambiguous concept that can refer to the manner in which tort liability affects the allocation of scarce resources, the spreading of losses across society, or the attainment of normatively desirable distributive outcomes. The first two conceptions are combined in the (now) conventional economic analysis of tort law, a methodological approach that is routinely associated with Calabresi. In contrast, the remaining conception of risk distribution that Calabresi identified—the attainment of normatively desirable distributive outcomes—is not ordinarily associated with the economic analysis of tort law, and yet this conception is the one that Calabresi has repeatedly invoked as being of decisive importance. In doing so, Calabresi has described how economic analysis can inform distributive questions within tort law, although he never fully developed this approach.\nIn this article, I try to carry Calabresi further by more rigorously showing how distributive economic analysis can be relevant to the normative evaluation of tort law. In contrast to Calabresi’s conclusion about the “pointlessness of Pareto,” I first argue that the Pareto principle embodies an autonomy-based compensatory norm that tort law can rely on to implement corrective justice under nonideal conditions that foreclose fully consensual compensatory exchanges. Within the context of these forced exchanges, a compensatory payment satisfies a compensatory obligation, which in turn is defined by the correlative compensatory right. Consequently, I next identify the substantive properties of a compensatory tort right and show how the right holder’s compensatory demands can be fully satisfied by the duty holder’s exercise of reasonable care in a wide range of cases. A compensatory norm can be fully implemented by the distribution of risk without an entitlement to compensatory damages in the event of injury, a conclusion that sheds new light on Calabresi’s original insight about the varied meanings of risk distribution within tort law.\nFinally, I employ distributive economic analysis to show how the tort system can be conceptualized as a compensatory mechanism. Tort compensation is not merely a form of accident insurance as assumed by the conventional economic analysis of tort law; it fits readily into Calabresi’s taxonomy of desirable legal innovations that shift the Pareto frontier outwards. By expanding the feasible set of fully compensatory outcomes that can be attained under existing social conditions, the tort system enables individuals to engage in new risky activities while adequately compensating those who are disadvantaged by the risky behavior. The tort system has a normative dimension that is brought into sharp relief by the type of distributive economic analysis that has been championed by Calabresi but neglected by the conventional economic analysis of tort law.

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 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 score0.637
Threshold uncertainty score0.981

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.021
GPT teacher head0.184
Teacher spread0.163 · 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