The coastal metropolitan corn trade in later seventeenth‐century England<sup>1</sup>
Bibliographic record
Abstract
Exploiting hitherto unexamined London port book data, this article shows that during the last quarter of the seventeenth century the coastal metropolitan corn import trade was twice the size that historians relying on the work of Gras have assumed it to have been. More significantly, it demonstrates that Gras's failure to examine the capital's grain trade other than in terms of aggregate corn imports has disguised the nature and extent of its contribution to the development of the London economy. By the 1680s, the coastal trade comprised two distinct strands of roughly equal size: one providing food and drink for the London population, the other fuelling the overland trade of the capital. It is argued that the former was unnecessary for the provision of the city other than in barren years, but that the latter may have been indispensable for the development of the overland transport infrastructure of the metropolitan region at the height of the late seventeenth-century commercial revolution. Thanks largely to the agency of southern English mariners commanding large coasters, London's demand for fodder crops after the mid-1670s drew most of the coast stretching from Berwick to Whitehaven into the orbit of the metropolitan corn market.
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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 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".