‘The Days of Brilliancy are Past’: Skill, Styles and the Changing Rules of Surgical Performance, ca. 1820–1920
Bibliographic record
Abstract
This paper examines how, over the course of the nineteenth and early twentieth centuries, the appreciation of skill in surgery shifted in characteristic ways. Skill is a problematic category in surgery. Its evaluation is embedded into wider cultural expectations and evaluations, which changed over time. The paper examines the discussions about surgical skill in a variety of contexts: the highly competitive environment of celebrity practitioners in the amphitheatres of early nineteenth-century Britain; the science-oriented, technocratic German-language university hospitals later in the century; and the elitist surgeons of late nineteenth and early twentieth-century United States with their concerns about distancing themselves from commercialism and cheap showmanship. For analysing the interaction of surgical practices with their various contexts the paper makes use of the concept of 'performance' and examines how the rules of surgical performance varied according to the prevailing technical, social, and moral conditions. Over the course of the century, surgical performance looked more and more recognisably modern, increasingly following the ideals of replicability, universality and standardisation. The changing ideals of surgical skill are a crucial element of the complex history of the emergence of modern surgery, but also an illuminating example of the history of skill in modern medicine.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.014 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".