Bibliographic record
Abstract
Barrie was admitted to hospital following seizures. He was referred to the hospital social work team by the ward staff, due to his evident self-neglect and in the hope of finding him support to improve his health and hygiene. A social work assessment found that Barrie lives at home with his wife but has started to live and sleep only in the living room. His personal hygiene and health are poor. He has very limited mobility and is often unable to get on and off the sofa. Barrie’s wife, Anne, is his main carer. He has two sons, one of whom has no contact with him. Anne has also suffered serious health problems and is unable to cope, particularly when Barrie is abusive to her. He also keeps her awake at night by shouting. Barrie has refused services in the past. His seizures and other health problems are thought to be related to his heavy drinking and smoking. Barrie says that he has always drunk and is not going to stop, although he promised to cut down when he left hospital. There is a suspicion that he suffers from depression alongside his heavy drinking. Michael is single and has no children. He has been accessing services for a long time for his heroin use. He has a history of polydrug use, including benzodiazepines. He is currently using cannabis as well as heroin. He is struggling to support his drug use financially and has presented to services asking for methadone. His brother, who is also a drug user, has been taken back into prison.
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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".