Bibliographic record
Abstract
The law of fiduciaries has been developed in an unprincipled manner. Consequently, the common law lacks a clear idea of the nature of the fiduciary relationship, the justification for fiduciary duties, and the purpose of fiduciary remedies. However, according to the author a principled theory of fiduciary liability may be derived from the common law. The focal point is the recent decision of the Supreme Court of Canada in Galambos v. Perez. The theory of liability suggested by Galambos and developed by the author is based on the conventional notion that fiduciary liability is premised upon the existence of a fiduciary relationship. The author argues that a clearer account of the nature and normative significance of the fiduciary relationship is critical to developing a sound understanding of the nature and scope of fiduciary duties. Under the theory developed by the author, the fiduciary relationship is treated as a distinctive kind of legal relationship. It is one in which one person (the fiduciary) wields discretionary power over the practical interests of another (the beneficiary). According to the author, fiduciary duties are explicable solely in terms of normatively salient qualities of the fiduciary relationship. The author explains these qualities and shows how they support and limit the incidence of fiduciary duties.
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 | 0.005 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.005 | 0.021 |
| Scholarly communication | 0.006 | 0.009 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.008 | 0.006 |
| Insufficient payload (model declined to judge) | 0.007 | 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".