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Record W2230968116

The personal property security interest: Identifying some essential attributes

2014· article· en· W2230968116 on OpenAlexaboutno aff
Sheelagh McCracken

Bibliographic record

VenueLaw in context · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicLegal principles and applications
Canadian institutionsnot available
Fundersnot available
KeywordsSecurity interestStatutory lawAcknowledgementDatabase transactionArgument (complex analysis)Property (philosophy)Law and economicsProject commissioningPersonal propertyCommon lawPublishingBusinessInternet privacyLawComputer securityPolitical scienceComputer scienceEconomicsEpistemology
DOInot available

Abstract

fetched live from OpenAlex

While difficulty in classifying specific arrangements as security interests often arose at common law, the essential attributes of each type of security interest were nonetheless readily identifiable. Drawing on relatively recent Canadian cases, this article explores how the expanded notion of a security interest arising under the Personal Property Securities Act 2009 (Cth) might be characterised. While agreeing with a view developed in other PPS jurisdictions that the interest should be interpreted as fixed and legal in nature irrespective of the type of transaction under which it arises, the article queries a not uncommon characterisation of that interest as necessarily a charge. The article also analyses whether the interest could be conceptualised more simply as a statutory interest the precise content of which varies according to the transaction under which it arises. Acknowledgement that the security interest can be constituted by differing bundles of rights would support a sometimes controversial argument that existing learning on common law distinctions between security transactions remains important, even though most consequences of such distinctions are removed by the Act. Such a conceptualisation might nonetheless help to identify and explain the extent to which recourse should be sought to general law rules to enable the Act to operate effectively within its local commercial law framework.

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)0.001
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: Empirical
Teacher disagreement score0.956
Threshold uncertainty score0.997

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 studies0.0010.000
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 head0.056
GPT teacher head0.327
Teacher spread0.271 · 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
Published2014
Admission routes1
Has abstractyes

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