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Record W4285010966 · doi:10.15273/pnsis.v52i1.11371

BIRDS OF BRIER ISLAND, NOVA SCOTIA, REVISED AND UPDATED

2022· article· en· W4285010966 on OpenAlexvenueaboutno aff
Eric L. Mills, Lance Laviolette

Bibliographic record

VenueProceedings of the Nova Scotian Institute of Science · 2022
Typearticle
Languageen
FieldEnvironmental Science
TopicEcology and Vegetation Dynamics Studies
Canadian institutionsnot available
Fundersnot available
KeywordsOrnithologyGeographyNova scotiaChecklistSeabirdEcologyFisheryArchaeologySouthern HemisphereBiology

Abstract

fetched live from OpenAlex

This monograph is a revision and updating of our publication on the birds of Brier Island, Nova Scotia, published in the Proceedings of the Nova Scotian Institute of Science in 2011. Known for its concentrations of seabirds and large volume of migration in spring and autumn, the island has gained constantly increasing attention by birders since it was first investigated by members of the Nova Scotia Bird Society in 1955. The past decade, since 2011, has seen a remarkable increase in bird reports, mainly due to increased field work by birders, but also because of the use of the online bird logging system eBird. The heart of this monograph is the annotated list of birds, which has been enlarged and revised in the light of new reports by field observers and new information from the ornithological literature. We have incorporated eBird observations, along with our personal records of occurrences and bird banding data into this revision, along with the changes in the order and arrangement of North American bird families as set out by the Checklist Committee of the American Ornithological Society. Three species, Pacific Golden-Plover, Brown Booby and Zone-tailed Hawk, have been added to the island checklist, and one has been lost, Thayer’s Gull, which has been incorporated into Iceland Gull. The total list of species reported from the island is 357, including two hypothetical species. The number of known breeding bird species has increased from 74 to 83. We also update ecological knowledge of the island as a result of recent fieldwork and the restoration of the Big Meadow Bog in support of Eastern Mountain Avens conservation.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.281
Threshold uncertainty score0.565

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0070.006
Science and technology studies0.0020.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0260.011

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.

Opus teacher head0.012
GPT teacher head0.234
Teacher spread0.222 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2022
Admission routes2
Has abstractyes

Explore more

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