Bibliographic record
Abstract
Early Newfoundland Varieties of English have been established in Newfoundland since the early seventeenth century, when small numbers of men began to live year-round near the cod fisheries of the island's coastal waters and the adjacent Grand Bank and when scattered families were established in coastal settlements after the arrival of a few women. The first English birth on the island was recorded in 1613. However, annual fishing voyages had brought Englishmen and other European nationalities to the Newfoundland coasts since at least 1497 (Cell 1969). Several adventurers, for example George Calvert, later Lord Baltimore, attempted to plant colonies in the early decades of the 1600s, but as these did not persist as discrete communities beyond the middle of the seventeenth century, there is little firm documentation about colonists who may have become settlers, married, and produced lines of descendants (Cell 1982). The island of Newfoundland lies in the mouth of the St. Lawrence River, to the south of Quebec and Labrador. It is the size of the state of Tennessee, and coastal Labrador, which falls within its jurisdiction, is nearly as large as Arizona. Basic to an understanding of the establishment of English in the island of Newfoundland is that from the sixteenth to the late eighteenth century, though with interruptions in wartime, it was visited in the summers by thousands of transient fishermen from the southwestern counties of England. At the same time, it was occupied year-round by a strikingly small number of settlers, likewise from the same West Country sources (L. Harris; O'Flaherty; Story).
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.178 | 0.037 |
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".