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Record W4385593140 · doi:10.59962/9780774890120

The Birds of Vancouver Island’s West Coast

2018· book· de· W4385593140 on OpenAlexaboutno aff
Adrian Dorst

Bibliographic record

VenueUniversity of British Columbia Press eBooks · 2018
Typebook
Languagede
FieldEarth and Planetary Sciences
TopicMarine and coastal plant biology
Canadian institutionsnot available
Fundersnot available
KeywordsWest coastGeographyFisheryOceanographyGeologyBiology

Abstract

fetched live from OpenAlex

The west coast region of Vancouver Island encompasses mountainous terrain, rainforest, mudflats, and ragged coastlines that bear the brunt of storms spawned by an immense ocean. Remote and inaccessible to birders until well into the twentieth century, the rugged beauty of this “wild west coast,” attracts visitors from far and wide. And it also boasts a distinctive avian population that has made it one of Canada’s premier bird-watching destinations. The Birds of Vancouver Island’s West Coast is the essential guide to the region’s birds. It presents accounts of all of the species thus far recorded as occurring there – 360 in total – and updates the 231 species recorded up to 1978. Each account includes a brief introduction to the species and an overview of its total range. Key to the book’s detailed and authoritative accounts are first-hand observations and anecdotes recorded by the author over more than forty years. By far the most detailed and up-to-date account of the birds of this region, this book will inform, delight, and surprise amateur and professional birders alike.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.262
Threshold uncertainty score0.526

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0220.006

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 head0.009
GPT teacher head0.157
Teacher spread0.148 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations3
Published2018
Admission routes1
Has abstractyes

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