Bibliographic record
Abstract
NEWFOUNDLAND AND LABRADOR is a unique place with a unique culture. Why is this comment so commonplace? Because, to rephrase Kipling, “What do they know of Newfoundland, who only Newfoundland know?” The speech and the place names alone fascinate the visitor, assuring him he has found a human community like no other on earth. Yet the native, like natives everywhere, cannot be fascinated with the commonplace. His forbearers, and perhaps he himself, may have endured more poverty, helplessness, loss, and shame than they care to remember, but the more unique the place, the stronger its bonds. There is a great deal to be yet learned about bonds between humans and places. Among the earliest outposts of European emigration to the New World, Newfoundland was eventually settled by the same Anglo-Irish folk with the same technologies, languages, diseases, religions, stories and songs, family and community mores as those who landed farther south. These latter moved inland and upriver to hunt and farm, and were soon followed by others from farther reaches of the Old World. But we who came to Newfoundland stayed on the coast and fished. From earliest times, either we moved west to the next headland and harbour in search of better fishing conditions, or we moved “away” among those others, and we seldom came back. Meanwhile, no more immigrants have followed us here since the 1820s, so we have remained Anglo-Irish for nearly two centuries. South, along the coast of the continent at least to the Carolinas, can still be heard a curiously old and untravelled English accent much like ours, on the tongues of fishermen and islanders who, like ourselves, neither moved inland nor mixed.
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".