Bibliographic record
Abstract
George Story’s paper A view from the sea: Newfoundland place-naming suggests that there are other, complementary methods of collection and analysis than those used by his colleague E. R. Seary. Story examines the wealth of material found in travel accounts and the knowledge of fishers. This paper takes a different view from the sea as it considers the development of Cape Breton placenames using cartographic evidence from several influential historic maps from 1632 to 1878. The paper’s focus is on the shift names that were first given to water and coastal features and later shifted to designate settlements. As the seasonal fishing stations became permanent settlements, these new communities retained the names originally given to water and coastal features, so, for example, Glace Bay names a town and bay. By the 1870s, shift names account for a little more than 80% of the community names recorded on the Cape Breton county maps in the Atlas of the Maritime Provinces. Other patterns of naming also reflect a view from the sea. Landmarks and boundary markers appear on early maps and are consistently repeated, and perimeter naming occurs along the seacoasts, lakes, and rivers. This view from the sea is a distinctive quality of the island’s names.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.015 | 0.012 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 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".