George Spence: Surgeon and Servant of the Hudson’s Bay Company, 1738–41
Bibliographic record
Abstract
At the beginning of his medical career, George Spence signed a contract with the Hudson's Bay Company (HBC) as surgeon for the Fort Albany fur trading post located on James Bay in British North America. During his first three years (1738-41), Spence encountered formidable personal and professional challenges which can be partially reconstructed through examination of surgeon's journal for 1740-41. By unique good fortune, two other corroborating journals exist for Albany from the same year: the journal of another HBC servant and the regular post journal. Spence's is the only surgeon's journal in the HBC archives prior to 1846 and one of very few such journals from any period of the company's history. This paper examines everyday medical practice in one fur trading context from the perspective of HBC employees and the recipients of medical care. George Spence's significance lies partially in the ordinary nature of his practice in contrast to heroic historical accounts, and partially in his contribution toward knowledge of an earlier context in medical history than has been previously analyzed. I have drawn on concepts from labour and professionalization history to analyze the seemingly contradictory position of the surgeon as both an autonomous professional and a servant in relation to the HBC. While Spence successfully fulfilled his role as surgeon, he struggled to meet expectations as a servant of the company. His struggle was partially based on emerging professional ideologies, and partially based on changing labour relationships within a pre-industrial society.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.005 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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".