Bibliographic record
Abstract
Abstract This article examines historic changes occurring in Europe related to printing and cartography as they played out on Cape Breton Island during the eighteenth century. The research explores Cape Breton maps as one example of the reciprocal relationship between technologies, ideas and natural environments. The advent of print engendered a transformation in human thought that elevated rational, scientific ways of knowing. Technology and ideology worked hand in hand to reshape the world through the use of increasingly accurate maps to explore and exploit new territory. The gradual shift from imaginative to increasingly accurate cartographic representations reveals the blending and balancing of artistic and scientific sensibilities in Europe and the New World. Advances in Europeans’ ability to more accurately map trade routes led to expanded knowledge about the world, particularly about peripheral regions with strategic or commercial potential. Cape Breton maps illustrate changes occurring in Europe and intimate the global consequences of those changes. Cape Breton’s geographic positioning and abundant cod stocks made the island important to both France and England. Cape Breton maps evolved through an exchange of ideas occurring in both Europe and the New World, particularly at Louisbourg because of its pivotal role as a centre for trade and military activity in the Anglo-French competition for control of North America.
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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 | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 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".