Halsbury's Laws of Canada: Personal Property and Secured Transactions (2025 Reissue)
Bibliographic record
Abstract
The law relating to personal property has been of central importance to lawyers in all fields of practice, since well before the King's Bench in 1722 famously proclaimed the principle of "finders, keepers". That is never more true than today, with the personal property security regimes in each jurisdiction providing comprehensive rules to govern the rights of creditors and debtors when personal property is used as collateral to secure the payment of a debt. This invaluable volume by Bruce MacDougall delivers a national, organized summary of the legislation and case law relevant to the common law field of personal property law and to the creation, perfection and enforcement of security in personal property. Designed for legal professionals who do not specialize in issues of personal property security, this accessible volume comprehensively deals with the key aspects of secured transactions under legislation in Canada's common law jurisdictions. [From Halsbury's Laws of Canada – Personal Property and Secured Transactions (2025 Reissue) I LexisNexis Canada]
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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.014 | 0.006 |
| Scholarly communication | 0.012 | 0.003 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.018 | 0.009 |
| Insufficient payload (model declined to judge) | 0.025 | 0.006 |
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".