“That the whole may be a prettie streete”: an analysis of the 17th- century cobblestone street at Ferryland, Newfoundland
Bibliographic record
Abstract
The daily activities associated with the 17th-century cobblestone street at Ferryland, NL are analyzed here through an examination of architectural remains and material culture. Guided by built form and taskscape theories, this research will help interpret how the residents of Ferryland interacted with each other, and with the different industries set up around the street. Early modern streets were both public and private areas, and along with roadways were not uncommon in English colonies. But this paved street—13 feet (4 m) wide by 400 feet (121 m) long—is one of the oldest examples known in North America, and one of Ferryland’s most distinctive features. Research reveals that the street was built within the first decade of the colony’s founding in 1621 and was in use throughout the century and, to a lesser extent, even after the colony’s destruction in 1696. Although the street functioned as the spine of the Ferryland colony, with most of the settlement closely adjacent to it, very little research has been conducted in regards to the street itself since it was uncovered in 1994. This project seeks to show how the idea of permanent settlement was reinforced by this large-scale construction, how the street adapted to changes within the colony and even survived it, and how the street shaped and was shaped by the day-today interactions of those who lived and worked in 17th-century Ferryland.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.008 | 0.007 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".