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Record W4247679508 · doi:10.3138/utlj.62.4.02

The Society of Property

2012· article· en· W4247679508 on OpenAlexvenueno aff
Avihay Dorfman

Bibliographic record

VenueUniversity of Toronto Law Journal · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicLegal principles and applications
Canadian institutionsnot available
Fundersnot available
KeywordsProperty (philosophy)Law and economicsProperty rightsNormativeScope (computer science)Object (grammar)BusinessTransaction costFreedom of contractLawPolitical scienceEconomicsComputer scienceEpistemologyPhilosophy

Abstract

fetched live from OpenAlex

The basic question that arises in connection with the distinction between property and contract is, what accounts for the general scope that property rights and duties, unlike their contractual counterparts, share? The most typical theoretical approach to this question has so far been to emphasize certain extrinsic circumstances, such as transaction costs or the normative priority of protecting property over contract rights. But the problem with this approach is that it implies that the source of the difference (whatever it is) does not originate in either property or contract but rather lies outside both (for instance, in the costs of making and carrying out transactions concerning external objects). In that, it fails to consider whether the general scope of property rights and duties is, in fact, a side effect of the special structure of property (vis-à-vis contract). On the account I shall develop, property is a framework of coordination in which participants approach the resolution of their competing claims (such as for use of and access to an object) together. In this way, property turns coordination itself into a form of respectful recognition among persons, quite apart from the functions it occasionally serves (such as promoting efficiency or sustaining freedom). This formal way of distinguishing between property and contract lies at the centre of the characterization of the rights and the duties in question that I shall pursue in these pages. Moreover, and perhaps more dramatically, this characterization provides the necessary normative resources to elaborate on their normativity: I shall argue that property, unlike contract, expresses the categorical value of regarding others as free and equal persons (at least, in the sphere of action onto which property maps).

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.973
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
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 head0.022
GPT teacher head0.255
Teacher spread0.233 · 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.

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

Citations5
Published2012
Admission routes1
Has abstractyes

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