Encountering the shoreline: ecology and infrastructure on the early modern Newfoundland coast
Bibliographic record
Abstract
This article looks at the colonial fishing villages and maritime infrastructure along the early modern Newfoundland shoreline. It argues that, during the seventeenth and eighteenth centuries, the establishment of settlements and the construction of seagoing vessels, preservation stations, and other logistical sites at and across the littoral line supported the commercialization of the global cod market while fundamentally altering the coastal ecologies of the North Atlantic waters. The Grand Banks of Newfoundland, the underwater plateaus that provided shallow feeding conditions for underwater life, made the sea shelf one of the richest fishing regions in the world. On a global scale, the commercial extraction and preservation of cod supported the expanding diet and political economy of the early modern imperial state. On a local scale, the construction of buildings along the shoreline intruded on the littoral ecosystem and impelled the relocation of the native Beothuk inhabitants to the island’s interior, thereby highlighting the genocidal ramifications of European coastal development. How, this article asks, might one conceptualize the logistical architecture of the Newfoundland fisheries as both a spatial node within a global network of trade as well as a material intrusion into the ecology of the North Atlantic coastline?
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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 | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| 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".