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Record W4385075546 · doi:10.60082/2817-5069.3891

Transfer Theory and the Assignment of Contractual Rights

2023· article· en· W4385075546 on OpenAlexaffvenue
Stéphane Sérafin

Bibliographic record

VenueOsgoode Hall law journal · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicLegal principles and applications
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsLaw and economicsProperty rightsContract theoryDatabase transactionEquity (law)LawTransaction costTransfer (computing)BusinessEconomicsPolitical scienceComputer scienceMicroeconomics

Abstract

fetched live from OpenAlex

The possibility of assigning contractual rights to third parties has often been taken to suggest that they amount to a form of “property” or “asset.” This point has been seized upon by proponents of transfer-based accounts of contract law, which understand contract as a means of transferring existing rights instead of creating new rights and duties between its parties. In this article, I set out to critically examine the extent to which this assumed compatibility between transfer theories of contract and the assignment of contractual rights can truly be sustained. As I argue, only one version of transfer theory is able to properly account for the way in which assignment actually operates within the common law tradition, corresponding to the version that most closely resembles more orthodox promise theories of contract law by understanding contract as a transfer of rights directly against the person of the promisor. By contrast, I suggest that the dominant version of transfer theory, according to which contract amounts to a transfer of rights over external things, is unable to draw a full distinction between contract and a completed assignment of contractual rights and so is unable to explain the rules that govern the latter class of transaction at common law and in equity.

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)0.002
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 score0.952
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.018
GPT teacher head0.293
Teacher spread0.276 · 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 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

Citations0
Published2023
Admission routes2
Has abstractyes

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