Review of <i>Waterfowl Ecology and Management</i> by Guy A. Baldassarre and Eric G. Bolen
Bibliographic record
Abstract
Waterfowl are among the most studied groups of birds, in part because many species are widely hunted. In recent decades, waterfowl researchers have provided a wealth of new findings related to population ecology and management. Baldassarre and Bolen, recognizing the rapid growth of valuable new information since their book was first published in 1994 and the emergence of numerous new issues confronting waterfowl conservation, have prepared a new edition of their book. The 2006 edition of Waterfowl Ecology and Management represents a major revision of the authors’ original work. The handsome new front cover contains an inset of a Mallard (Anas platyrhynchos) and American Black Duck (A. rubripes) pair in color against a background of Greater Snow Geese (Chen caerulescens atlantica) in fl ight. The book is printed on glossy paper, with a much larger page size than in the fi rst edition (28.0 × 21.5 cm vs. 23.4 × 15.7 cm). Drawings by Tamara Sayre add to the book’s appeal, and numerous black-and-white photographs help to convey important points, though some are underexposed, which reduces their effect. Stand-alone “infoboxes,” another new feature of the second edition, are distributed throughout the book to highlight accomplishments of early leaders in the field, identify roles of several key institutions and organizations in the field’s early development, and discuss important waterfowl issues—for example, the introduction of Mute Swans (Cygnus olor) to North America and the growth of resident flocks of Canada Geese (Branta canadensis).
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.005 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.015 | 0.011 |
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.
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".