The Social History of English Seamen, 1485-1649
Bibliographic record
Abstract
An overview of a wide range of aspects of maritime social history in the Tudor and early Stuart period. Traditionally, the history of English maritime adventures has focused on the great sea captains and swashbucklers. However, over the past few decades, social historians have begun to examine the less well-known seafarers who wereon the dangerous voyages of commerce, exploration, privateering and piracy, as well as naval campaigns. This book brings together some of their findings. There is no comparable work that provides such an overview of our knowledge of English seamen during the sixteenth and seventeenth centuries and the tumultuous world in which they lived. Subjects covered include trade, piracy, wives, widows and the wider maritime community, health and medicine at sea, religion and shipboard culture, how Tudor and Stuart ships were manned and provisioned, and what has been learned from the important wreck the Mary Rose . CHERYL A. FURY is Professor of History at the University of New Brunswick, and on the editorial board of Northern Mariner [the Canadian journal of maritime history]. Contributors: J.D. ALSOP, JOHN APPLEBY, CHERYL A. FURY, GEOFFREY HUDSON, DAVID LOADES, VINCENT PATARINO JR, ANN STIRLAND.
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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 | 0.002 |
| Science and technology studies | 0.005 | 0.005 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".