When the music stops: the UKSC judgment in Akers, applying the bona fide purchaser rule and offshore trusts
Bibliographic record
Abstract
This case note examines the effect of the recent Supreme Court decision Akers v Samba Financial Group [2017] UKSC 6. The authors explore the reasoning of the Court, particularly in relation to bona fide purchaser rule and its effect on offshore trusts and section 127 of the Insolvency Act 1986. It will conclude that the Supreme Court was correct on the facts to limit the remedies available through equity and the insolvency act when assets held on trust are disposed. The appellants were incorrect in positing that a disposition had occurred. Further, the court affirms ‘the Samba principle’ wherein equity applies in personam to foreign and domestic assets. The decision highlights tensions inherent within trusts and insolvency law which Akers provides remedy to through the bona fide purchaser rule.
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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 | 0.005 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.010 |
| Scholarly communication | 0.010 | 0.006 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.015 | 0.010 |
| Insufficient payload (model declined to judge) | 0.005 | 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".