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Record W3014514066 · doi:10.3138/utlj.2019-0103

The artificial morality of private law: The persistence of an illusion

2020· article· en· W3014514066 on OpenAlexvenueno aff
Liam Murphy

Bibliographic record

VenueUniversity of Toronto Law Journal · 2020
Typearticle
Languageen
FieldNeuroscience
TopicFree Will and Agency
Canadian institutionsnot available
Fundersnot available
KeywordsLaw and economicsLawMoral rightsPolitical scienceProperty rightsNormativeLegal realismMoralitySociologyLegal professionIntellectual property

Abstract

fetched live from OpenAlex

In the public at large, property and contract law are commonly thought to reflect moral proprietary and promissory rights. Contemporary philosophers are mostly sceptical about natural property rights, though not about promissory rights. I argue at length that contract and promise, no less than property, can only be justified instrumentally – by appeal to the social good that these conventional practices produce. The aims of these practices need not be limited to social welfare but can include social justice and values more closely connected to the subject matter of the practices. The illusion that the law of the market reflects individual natural rights is harmful to public political discourse about institutional design. For example, it leads to ungrounded ideas about a right to freedom of contract and severely distorts the discussion of tax policy. The tenaciousness of this illusion deserves investigation. Promise and property are backed up and enforced by contract and property law. These legal orders necessarily take the form of a set of rules that specify legal rights and obligations. Living our lives in a social world structured in significant part by the law of the market, it is very hard to see those legal rights and obligations as not reflecting a deontological order of moral rights and obligations. We have here a case where misunderstanding the formation of legal normative orders leads us astray in our understanding of moral normative orders. This in turn hinders us in our ability to see clearly what the options for morally sound reform of the legal normative orders may be.

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)0.020
metaresearch head score (Gemma)0.036
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 score0.020
Threshold uncertainty score0.104

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0200.036
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0100.124
Scholarly communication0.0180.028
Open science0.0020.010
Research integrity0.0090.019
Insufficient payload (model declined to judge)0.0050.001

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 head0.052
GPT teacher head0.220
Teacher spread0.168 · 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

Citations39
Published2020
Admission routes1
Has abstractyes

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