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Record W2178913227

A guide to the Personal Property Security Act: The case of Malawi

2015· article· en· W2178913227 on OpenAlexaboutno aff
Marek Dubovec, Cyprian Kambili

Bibliographic record

VenueSSRN Electronic Journal · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicLegal Issues in South Africa
Canadian institutionsnot available
Fundersnot available
KeywordsLegislationPersonal propertyStatutory lawSecurity interestLaw reformStatuteLawLegislatureCommon lawLegislative historyInsolvencyCommissionBusinessPolitical scienceProperty (philosophy)
DOInot available

Abstract

fetched live from OpenAlex

This book examines the Personal Property Security Act 8 of 2013 (PPSA) assented to on 15 July 2013 by the President of Malawi. The PPSA represents the most fundamental change to Malawian commercial law and signals a departure from the English law that Malawi inherited in 1964. Instead of looking to English law for inspiration of reform, the PPSA is based on the conceptual foundations of the United States Uniform Commercial Code Article 9 (UCC Article 9) that also underpin current secured transactions legislation in Australia and Canadian Provinces, and New Zealand, in addition to jurisdictions that have very little in common with Malawi, such as Colombia and Mexico. The drafters of the PPSA were also inspired by the United Nations Commission on International Trade Law (UNCITRAL), UNCITRAL Legislative Guide on Secured Transactions (Guide) that provides a model for the reform of secured transactions legislation and is currently being adapted into statutory text in the form of a model law. Due to the proximity of the legal systems and the complementary changes that the PPSA introduces to related legislation, the drafters chose the New Zealand Personal Property Security Act 126 of 1999 as a model for the legislative reform.The PPSA is revolutionary not only as a stand-alone statute. It is one piece of a mosaic of Acts drafted concurrently that completely overhaul Malawian commercial law, including the Companies Act and the Insolvency Bill that as of March 2015 is pending adoption. These three major pieces of legislation have been designed and drafted to apply together to a number of important transactions, such as when a corporation that borrowed money secured against its personal property such as inventory and accounts receivable files for insolvency protection.One of the authors of this book participated in the drafting of all three pieces of legislation and the other had a major responsibility in the drafting of the PPSA and its coordination with the relevant provisions of the Insolvency Bill undertaken by the International Finance Corporation (IFC). Due to the close involvement of both authors in the drafting of the PPSA, this book examines not only the individual provisions but also provides insight into some of the policy considerations behind the provisions. Although the PPSA examined in this book is unique to Malawi, a number of countries in Africa with a common legal heritage have already undertaken similar reforms. In fact, one of the authors is currently tasked with similar reform projects in Ghana, Nigeria, Sierra Leone and Zambia. Thus, this book should be equally instructive and provide guidance to the drafters of the laws in these countries and ultimately their users.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.075
Threshold uncertainty score0.150

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0090.006
Scholarly communication0.0060.008
Open science0.0010.004
Research integrity0.0060.006
Insufficient payload (model declined to judge)0.0070.002

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 head0.023
GPT teacher head0.327
Teacher spread0.304 · 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 designNot applicable
Domainnot available
GenreOther

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".

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Citations1
Published2015
Admission routes1
Has abstractyes

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