Economy of cod: trade, connection, and cultural resilience in the French Atlantic
Bibliographic record
Abstract
The fall of Nouvelle-France (1763) is intrinsically linked with the reorganisation of European powers in the Atlantic World. It ushered in an era of political instability as nations fought over the rights to exploit economic drivers such as sugar and cod. France was not immune to the power struggle as they fought to continue participating in the Atlantic economy and sought to establish or maintain overseas territories. However, the efforts to maintain Caribbean colonies eclipsed the crucial role of cod fishing in the Northwestern Atlantic in the shaping and maintaining of the French Atlantic World. In the period following the collapse of Nouvelle-France, the reorganization of the French Atlantic created a mobile constellational network that distributed cod to support the sugar trade and connected colonies across the Atlantic. This generated an interdependency that, when studied from an agency and actor-network perspective, was key to the continuation of the French commercial network despite war, violence, and political uncertainty. Further, this network created lasting cultural exchange between colonies that continues to today. By framing the French Atlantic as an intercolonial constellational network, the French reorganization and the distribution of goods creating an interdependency between colonies and people was at the core of the French success.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.007 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".