Skill, Judgement and Conduct for the First Generation of Neurosurgeons, 1900–1930
Bibliographic record
Abstract
Historical contingency complicates a reading of skill as a self-explanatory and always positive attribute. By focusing on the attempts of the first generation of neurosurgeons to build a community and fashion a collective neurosurgical self, this article highlights the extent to which the relationship between surgical skill and professional judgement is reflected in broader concerns that shape the landscape of medicine at a given time. Some early twentieth-century surgeons expressed concern about the spectacularisation of surgery and the skilful but problematic work of 'brilliant operators'. The neurosurgeons' policies of inclusion and exclusion show that in the process of fashioning a neurosurgical persona, this first generation sanctioned specific norms of conduct underwritten by similar moral imperatives, such as self-control. These norms governed the doctors' work both in the operating room and on the public stage (in their engagement with the press). The meetings of the first neurosurgical society staged a critical encounter between the host neurosurgeon and the members who watched him perform surgery. These technical performances in the operating theatre, followed by discussions, were designed to encourage particular norms, to negotiate surgical knowledge, and to demonstrate the skills and character of the neurosurgeon. The performances acted as a technology of the self that aligned the operator to a community and helped that community refine its norms of surgical conduct. The awkward surgeon with inferior technical ability was preferable to the brilliant but vain operator who lacked the capacity to judge when he should not deploy his spectacular skills.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.020 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 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".