The men of Nelson's navy: A comparative stable isotope dietary study of late 18th century and early 19th century servicemen from Royal Naval Hospital burial grounds at Plymouth and Gosport, England
Bibliographic record
Abstract
We present stable isotopic analyses of collagen from 80 servicemen excavated from the late 18th/early 19th century naval hospitals at Plymouth (50) and Haslar, Gosport (30) in southern England. Historical records suggest that, the diets of these two populations should be essentially identical. While δ(15) N of the rib collagen confirmed that naval servicemen were relatively well-catered for in terms of meat allowance (Plymouth average δ(15) N = 11.1‰, Gosport = 11.9‰), stable carbon isotope analysis produced average values for the two assemblages, which were significantly different (Plymouth average δ(13) C = -18.8‰, Gosport = -20.0‰). We postulate that these differences stem from divergent naval postings, with a greater proportion of Plymouth individuals serving in areas that entailed a greater input of C(4) foodstuffs. By comparison with published data from approximately contemporary burials at Snake Hill, Ontario, Canada and Chesapeake Bay, Virginia, we suggest that this area is the east coast of North America. For 15 of the 30 individuals from Gosport, we have data on ribs, femur, and dentine from the same skeleton, which appear to show that they came from a variety of locations in their preadolescence, but converged in dietary terms onto a "naval average," which is consistent with historical evidence for recruitment patterns into the Navy at the time. By comparison with published data from skeletons recovered from the wreck of the Mary Rose (sank 1545), we conclude that this naval diet was virtually unchanged from the 16th century to the end of the 18th century.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".