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Record W4404142906 · doi:10.53061/qgqs2134

Field Guide to the Birds of North America

2024· book· en· W4404142906 on OpenAlexaboutno aff
Miles McMullan

Bibliographic record

Venuenot available
Typebook
Languageen
FieldAgricultural and Biological Sciences
TopicMediterranean and Iberian flora and fauna
Canadian institutionsnot available
Fundersnot available
KeywordsField (mathematics)GeographyZoologyBiologyMathematics

Abstract

fetched live from OpenAlex

Field Guide to the Birds of North America is a complete, compact and user-friendly guide to all the birds of the USA and Canada (excluding Hawaii). Drawing on years of guiding experience, the book is perfectly designed for use in the field. Pocket-sized and at just 372 pages, it covers 1,100 species – more than any other guide to North America – and includes over 6,000 illustrations. Distribution ranges of all native birds are mapped, and many confusing subspecies are included for the first time in a field guide for the region. The book gives special attention to the key differences between troublesome species, with comparisons to help the reader get to the right identification. Compact and comprehensive, this new field guide includes: - Color-coded maps showing resident and seasonal distributions to help plan which birds to expect when and where. - ‘What’s the difference?’ information boxes providing easy guidance on the most challenging species to identify. - Conservation and abundance status, with subspecies separately mapped. - Current taxonomic order and up-to-date common names. The clearly labelled illustrations detail plumage variations by sex, age and color morphs. Birds are illustrated in flight, in profile and in typical habitats. Concise descriptive captions highlight the most important field identification signs, including habitat, nesting and feeding behavior. Calls are described for every species. Written and illustrated by a professional birding guide with decades of experience, Field Guide to the Birds of North America is a must-have book for birders of all ages and any level of experience.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.256
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.001

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 head0.019
GPT teacher head0.228
Teacher spread0.210 · 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; both teacher heads agree on what is shown here.

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

Citations46
Published2024
Admission routes1
Has abstractyes

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