The seventeenth-century English cod fisheries of Newfoundland and New England, circa 1600-1713: an archaeological and historical comparison
Bibliographic record
Abstract
This dissertation presents the results of a comparative study of English colonial-period fisheries sites from the Gulf of Maine and the English Shore of Newfoundland. Through a combination of archaeological and historical analysis, this dissertation sought to answer questions about the role of early resource-extraction industries in colonial societies, especially regarding the transition from a migratory to a permanent European presence in North America, and the construction of new social structures and identities. The expansion of Europeans into North America was motivated by a desire for new sources of wealth; the Atlantic Cod was one of the most important of these resources. The lightly salted and dried flesh of the codfish possessed not only economic, but also social, political, and strategic value. European exploitation of North American cod began at the start of the 16th century in Newfoundland; within the century it expanded southward to the Gulf of Maine and the adjacent New England territories of Massachusetts Bay and Maine. European exploitation in both regions originated with the cod fishery, yet by the end of the 17th century, differences had appeared in the social structures of English settlements in each region. Newfoundland remained largely dependent on the health and success of the cod fisheries to maintain its social structures. Maine was similar, yet with enough differences to be considered a distinct culture in its own right; Massachusetts Bay was an aberration in colonial history, quickly developing a relatively stable social, political, and economic structure which earned the colony a degree of independence not seen elsewhere in the English colonial world. This dissertation examines archaeological collections from six colonial fishing sites, three each from Newfoundland and New England, in an attempt to understand how the inhabitants lived and worked within the confines of the fisheries and the attendant socio-economic structures. Combined with a critical reevaluation of the existing historiography, this answered not only the research objectives of this dissertation but also allowed the construction of a novel research framework intended to help create a new and unified way of looking at all early resource-extraction industries.
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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 | 0.003 | 0.005 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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".