Bibliographic record
Abstract
Written by Rachael McGill From an original idea by Ruth Carney West Yorkshire Playhouse, Leeds, until 5 March 2005 Rating: ![Graphic][1] ![Graphic][2] ![Graphic][3] I f you can get to Leeds, you must see this play. Powerful, moving, and thought provoking in equal measure, this is great theatre. At its heart, The Lemon Princess tells the story of a father's love for his teenage daughter, as she is transformed from a spirited young woman into a dependent and terminally ill patient, brain injured by the neurodegenerative condition variant Creutzfeldt-Jakob disease (vCJD). Although billed as a fictional account of a vCJD sufferer, the play draws heavily on director Ruth Carney's conversations with Stephen Forber, whose daughter died from the disease in 2001. With access to Stephen's diaries, and though her own research, Ruth developed the project into a wide ranging piece that also examines the politics surrounding vCJD and its link to mad cow disease—bovine … [1]: /embed/inline-graphic-1.gif [2]: /embed/inline-graphic-2.gif [3]: /embed/inline-graphic-3.gif
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.199 | 0.058 |
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".