Bibliographic record
Abstract
Brier Island, Nova Scotia, Canada, at the southwestern entrance to the Bay of Fundy, has been known for years as a prime birding destination. It combines access to unusually rich gatherings of pelagic birds, the chance of seeing rarities in greater frequency than almost anywhere else in the province, and the spectacle of large volume land bird migrations. The island lies at the intersection of migratory routes along the east coast of North America. Because of intense oceanic turbulence in the adjacent shallow water, which is in close proximity to deeper water, rich feeding is available for nearshore seabirds and pelagic species. Of the 470+ species recorded from the Province of Nova Scotia as a whole, 355 have been recorded from Brier Island. Many of these are vagrants, mainly of western or southern origin in North America; others are common passage migrants that visit the island briefly in very large numbers, especially in autumn. Apart from possible vagrants in spring and fall, the island is noted for the abundance of passerine migrants in autumn, a striking hawk migration in September and October, late-summer gatherings of phalaropes, shearwaters, and storm petrels, and an abundance of overwintering alcids, loons, grebes, and sea ducks in winter. The island has been the site of bird-banding activity and of Christmas counts for more than 50 years. We provide an introduction to the physiography, geology, physical geography, oceanography, and ecology of the island, along with a list of the breeding birds, a comparison with Grand Manan, New Brunswick, an extensively annotated list of the birds plausibly reported from the island to the middle of 2011, describing occurrence, seasonality, and abundance of all species, and a checklist of the birds of the island. Species occurrence data available via the OBIS Canada data repository http://ipt.iobis.org/obiscanada/resource?r=brierisland_birds
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.021 | 0.005 |
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".