Bibliographic record
Abstract
LOUISE Rose, born with serious physical and mental disabilities as a result of medical negligence at delivery, obtained £250,000 by way of settlement of her claim against the defendant health authority. This sum, administered by the Court of Protection, was used to enable her mother, Mrs. Bouette, to purchase a house in which they could both live. Its price was met as to three-quarters by the damages fund and as to one-quarter by her mother, and beneficial interests were declared in the property to represent their respective contributions. Mrs. Bouette received regular payments from the Court of Protection to cover Louise's living expenses and to purchase equipment for Louise, as well as social security benefits from the State in respect of her care for Louise. On Louise's death, at the age of fourteen, the rules of intestacy dictated that her estate, comprising her 75% share in the house and the residual fund, was to be divided in equal shares between her parents. Although Louise's father had separated from her mother when Louise was eight months old, he had an equal entitlement to the daughter's property, and realisation of his share would inevitably involve sale of the house. Mrs. Bouette accordingly brought a claim under the Inheritance (Provision for Family and Dependants) Act 1975, arguing that she was dependent on her daughter immediately before her death, and that she had not obtained reasonable financial provision as a result of the operation of the intestacy rules. The father applied to strike out the mother's claim, and the question of her dependency was tried as a preliminary issue: Bouette v. Rose, sub nom. Re B (deceased) [2000] 1 All E.R. 665.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.008 | 0.004 |
| Insufficient payload (model declined to judge) | 0.179 | 0.057 |
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".