A pioneer of urologic surgery from a small town in Ontario, Canada: A tribute to Abraham Groves (1847 - 1935)
Bibliographic record
Abstract
BACKGROUND: Abraham Groves worked as a general practitioner and surgeon in the small town of Fergus, Ontario, Canada. Several priority claims have been attributed to Groves' life in surgery, including aseptic surgery (1874), appendectomy (1883) and the use of surgical gloves (1885). He was also an early practitioner of urological surgery. OBJECTIVE: The purpose of this paper is to describe and objectively assess his contributions as a pioneer in urological surgery. METHODS: A systematic search of contemporary journals was made for articles by or about Groves. These articles and his 1934 autobiography were reviewed. The information was assessed not only for priority, but also for the development of organized surgical principles and thought. RESULTS: Groves published frequently throughout his career; up to this point, 36 papers have been identified. Groves' claims are verifiable for aseptic surgery, which were the result of logical surgical thought and was practiced throughout his career. Contemporary publications support his early use of suprapubic lithotomy (1875), prostatotomy (1887), bladder repair (1892), urethral repair (1903), renal decapsulation (1905) and prostatectomy (1911). CONCLUSIONS: Despite his isolation, Abraham Groves independently developed a full range of surgical techniques and principles relevant to modern-day urology. His impact was reduced by the nature of the environment in which he worked and by the limited circulation of the journals in which he chose to publish.
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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 | 0.004 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.007 | 0.016 |
| Science and technology studies | 0.005 | 0.005 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".