Association of American Publishers The Warbler Guide
Bibliographic record
Abstract
Warblers are among the most challenging birds to identify. They exhibit an array of seasonal plumages and have distinctive yet oft-confused calls and songs. The Warbler Guide enables you to quickly identify any of the 56 species of warblers in the United States and Canada. This groundbreaking guide features more than 1,000 stunning color photos, extensive species accounts with multiple viewing angles, and an entirely new system of vocalization analysis that helps you distinguish songs and calls. The Warbler Guide revolutionizes birdwatching, making warbler iden-ti cation easier than ever before. For more information, please see the author videos on the Princeton University Press website. A complete, page-by-page audio companion to all of the 1,000-plus songs and calls covered by the book is available for purchase and down-load from the Cornell Lab of Ornithology. • Covers all 56 species of warblers in the United States and Canada • Visual quick fi nders help you identify warblers from any angle • Song and call fi nders make identifi cation easy using a few simple questions • Uses sonograms to teach a new system of song identifi cation that makes it easier to understand and hear di erences between similar species • Detailed species accounts show multiple views with diagnostic points, direct comparisons of plumage and vocalizations with similar species, and complete aging and sexing descriptions • New aids to identifi cation include song mnemonics and icons for undertail pattern, color impression, habitat, and behavior • Includes fi eld exercises, fl ight shots, general identifi cation strategies, and quizzes • A complete, page-by-page audio companion to all of the 1,000-plus songs and calls covered by the book is available for purchase and download from the Cornell Lab of Ornithology’s Macaulay Library by using the link at www.TheWarblerGuide.com 2013. 560 pages. 1,000+ color illus. 50 maps. 6 x 8 . Pa: 978-0-691-15482-4 $29.95 “[A]n essential reference.”
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.706 | 0.748 |
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".