Bibliographic record
Abstract
My good friend and colleague Barney Sneiderman died yesterday. A few months ago he was diagnosed with pancreatic cancer; the day before yesterday, after failed trials of chemotherapy and staying at home—with community palliative care supports—as long as possible, he determined it was time to enter one of our city's inpatient palliative care units. Less than a day later, he was gone. Some readers of Palliative & Supportive Care may actually be familiar with Barney, through his various published works. As a professor of law at the University of Manitoba, he was known for his expertise in health issues and the law and biomedical ethics. He was a frequent speaker to medical professionals on medico-legal subjects, and had a cross-appointment with the Faculty of Medicine at the University of Manitoba. Besides his many publications, the book he coauthored, Canadian Medical Law: An Introduction for Physicians, Nurses and Other Health Care Professionals , third edition, is considered an authoritative work on legal issues relating to patient care and treatment and addresses the most frequent and pressing concerns facing health care professionals and the lawyers who advise them.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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 teacher head, 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".