Public Engagement through Burial Landscapes: Cupids and Ferryland, Newfoundland
Bibliographic record
Abstract
British occupation of Newfoundland dates to the early 1600s with the founding of settlements such as Cupids and Ferryland. While records of deaths exist at both colonies, their seventeenth-century burial grounds have not been located. Historic burial grounds in Newfoundland come with certain characteristic features: surviving gravestones in a rocky landscape, views of the ocean, and often a large cross on top of a hill. Though not visible at the sites in question, these ‘lost’ burial landscapes can be employed as an engagement tool by archaeologists. By exploring a ‘lost’ burial landscape with visitors, a dialogue is opened to speculate where the settlers were buried and why. While indirect, discussing these themes with visitors provokes thought on historic vs. modern burial practices and acknowledges the seventeenth-century dead within the context of the modern landscape. This article aims to explore the use of burial landscapes to engage visitors in a conversation about early colonial history, but also about mortality in both historic and modern contexts.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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; both teacher heads agree on what is shown here.
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".