Bibliographic record
Abstract
Abstract The security interest is one of the most important devices used by financiers to manage credit risk. A financier that holds a security interest over the assets of a debtor enjoys considerable advantages over those creditors of the debtor who do not - since the security interest confers on the financier, in the event of a default by or the insolvency of the debtor, preferential rights of recourse against the assets encompassed by the security interest. By far the most important class of security interest, concerns security interests granted by companies over their personal property. The company is the dominant legal entity used for business enterprises, and a company's most valuable assets are likely to be its receivables, inventory, cash deposits, investment assets and intellectual property rights, all types of personal property. Security interests over personal property thus play an integral role in many modern financing transactions. For example, the obligations owed by a company to a financier in a multi-lender transaction (such as a loan syndication or risk participation) and to investors in structured financial products (such as asset-backed securities) are commonly supported by security interests over the company's personal property. This book discusses in detail the types of security interest that companies can grant over their personal property, and the regulation of such security interests under the laws of England and Wales, and the major common law jurisdictions of Australia, Canada and New Zealand. Reference is also made to selected material on security interests from the economically important common law jurisdictions of Hong Kong, Malaysia and Singapore. The book also examines the latest forms of security interest - such as lightweight floaters and fixed charges over fluctuating asset classes - being used by financiers, and the substitutes for security interests, principally negative pledges, retention of title clauses, set-off and flawed assets. Finally, the book considers the international initiatives of UNCITRAL and Unidroit to place cross-border security interests on a sounder footing.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.010 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".