Bibliographic record
Abstract
Diane Pretty was an Englishwoman in her early 40s who had been married nearly a quarter of a century. In November 1999, she learned she had amyotrophic lateral sclerosis-in Britain, motor neurone disease. Her condition deteriorated rapidly, and soon she was "essentially paralysed from the neck downwards." She had "virtually no decipherable speech" and was fed by a tube. She was expected to live only a few months or even weeks. AB a court later explained, however, "her intellect and capacity to make decisions are unimpaired. The final stages of the disease are exceedingly distressing and undignified. AB she is frightened and distressed at the suffering and indignity that she will endure if the disease runs its course, she very strongly wishes to be able to control how and when she dies and thereby be spared that suffering and indignity." Suicide is not a crime in Britain, but assisting suicide is. On 27 July 2001, Mrs. Pretty's solicitor wrote the Director of Public Prosecutions asking for an assurance that her husband would not be prosecuted if he helped his wife commit suicide. The DPP refused because it would not "grant immunities that condone, require, or purport to authorise or permit the future commission of any criminal offence, no matter how exceptional the circumstances."
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 | 0.001 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.005 | 0.004 |
| Insufficient payload (model declined to judge) | 0.828 | 0.779 |
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".