The International Protection of Adults
Bibliographic record
Abstract
Abstract Increasing numbers of people have connections with one country, but live and work in another, frequently owning property or investments in several countries. People with lifelong or subsequently developed impairments of capacity move cross-border or have property or family interests or connections spread across different jurisdictions. This new work fills a gap in a specialist market for a detailed work advising lawyers on all the considerations in these situations. The book provides a clear, comprehensive, and unique overview of all relevant capacity and private international law issues, and the existing solutions in common law and civil law jurisdictions and under Hague Convention XXXV. It sets out the existing law of various important jurisdictions, including detailed chapters on the constituent parts of the UK, Ireland, Jersey, the Isle of Man and the Hague 35 states; and shorter chapters on 26 Non-Hague states and those within federal states, including coverage of the United States, several Australian and Canadian states, and a number of other Commonwealth jurisdictions. Containing a number of helpful case studies and flowcharts, the book draws upon the expertise of the editors in their respective fields, together with detailed contributions from expert practitioners and academics from each relevant jurisdiction. All the editors and many of the contributors and correspondents are members of STEP.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.049 | 0.015 |
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".