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Record W2550873366 · doi:10.1017/s1352325216000033

LEGAL POWERS IN PRIVATE LAW

2015· article· en· W2550873366 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

VenueLegal Theory · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicLegal principles and applications
Canadian institutionsQueen's University
Fundersnot available
KeywordsSalientNormativeVariety (cybernetics)Private lawLawPolitical scienceLaw and economicsPublic lawSociologyComputer science

Abstract

fetched live from OpenAlex

ABSTRACT This article explores the nature and role of legal powers in private law. I show how powers are special in that they allow agents to change their (and others’) legal circumstances merely by communicating an intention to do so, without having also to change the nonnormative facts of the world. This feature of powers is, I argue, particularly salient in private law, with its correlative or bipolar normative structure; understanding powers and their role in private law thus requires careful attention to this correlativity. In the final section, I argue that the correct explanation of a variety of substantive problems in private law, many having to do with the role of a party's intention, turns on correctly understanding legal powers.

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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.902
Threshold uncertainty score0.998

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)0.0000.000

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 head0.031
GPT teacher head0.323
Teacher spread0.292 · 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