Bibliographic record
Abstract
The Personal Property Securities Act 2009 (Cth) ('PPSA') is scheduled to commence operation in early 2012. The statute is based in part on Canadian provincial legislation that, in turn, derives from Article 9 of the United States Uniform Commercial Code ('UCC'). Article 9 is a model statute drafted by the National Conference of Commissioners on Uniform State Laws in collaboration with the American Law Institute and it has been adopted in all States. The result is that United States secured lending law, although primarily a State responsibility, is substantially uniform throughout the country. The same is true in Canada. All the common law provinces and territories have enacted personal property securities statutes which, with the exception of the Ontario Personal Property Security Act, are based substantially on a model statute drafted by the Western Canada Personal Property Security Act Committee (now the Canadian Conference on Personal Property Security Law). The OPPSA shares many common features with the Model Act, but there are quite a number of differences in the details.
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 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 | 0.012 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.021 | 0.027 |
| Scholarly communication | 0.015 | 0.013 |
| Open science | 0.003 | 0.009 |
| Research integrity | 0.014 | 0.019 |
| Insufficient payload (model declined to judge) | 0.016 | 0.001 |
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".