A critical case commentary on Avon and Wiltshire Mental Health Partnership and North Bristol NHS Trust v WA and DT: Did the judge reach a fair and just decision regarding the capacity and best interest of the person?
Bibliographic record
Abstract
Avon and Wiltshire Mental Health Partnership and North Bristol NHS Trust v WA and DT [2020] EWCOP, [2020] 7 WLUK 271: This case critically evaluates the findings on WA’s capacity assessment and best interest decision made by the courts to determine the treatment plan. From the finding’s on WA’s capacity, it is apparent that the way capacity testing was dealt with was not in accordance with the MCA guiding principles, but rather based on a subjective view of the assessors. Consequently, WA was held to be incapacitated requiring the courts to look at the best interest provisions under section 4 of the MCA in discussing the proposed treatment options. The positive aspect to this case was that Hayden J gave greater weight to WA’s wishes and feelings, and affirmed his autonomy.
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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 | 0.012 | 0.047 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.022 | 0.014 |
| Scholarly communication | 0.009 | 0.007 |
| Open science | 0.005 | 0.004 |
| Research integrity | 0.070 | 0.051 |
| Insufficient payload (model declined to judge) | 0.006 | 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".