Bibliographic record
Abstract
Henry Barnett (Barney to his colleagues) passed away at age 94 years after a very full life "in a front seat of the greatest show on earth," as he liked to say.Born in Newcastle-upon-Tyne, England, he immigrated to Canada at age 3 years.He became an inspired ornithologist in childhood and maintained his interest in birds and wildlife throughout his life.He graduated in Medicine from the University of Toronto in 1944 and did further training in neurology in Toronto and at Queens Square and Oxford.He was an authority in syringomyelia, but later "crawled out of that hole in the spinal cord" (his words) to become a world leader in vascular neurology.He and epidemiological colleagues showed that aspirin was effective in preventing stroke and led the North American Symptomatic Carotid Endarterectomy Trial, showing the value of endarterectomy in symptomatic internal carotid artery stenosis.He debunked the proposed effectiveness of the external-to-internal cranial artery anastomosis.These pioneering clinical trials in stroke made him world famous and inspired numerous clinical trials in stroke that led to further improvements in the prevention and treatment of ischemic stroke.He received numerous awards, including the Companion of the Order of Canada, an honorary DSc from Oxford, the Karolinska Stroke Award from Stockholm, and numerous others from various universities and organizations.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.462 | 0.172 |
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".