Bibliographic record
Abstract
Review: A Field Guide to Mammals of North America By Fiona A. Reid Reviewed by Kathy Piselli Atlanta-Fulton Public Library, USA Fiona A. Reid. A Field Guide to Mammals of North America, 4th ed, New York: Houghton Mifflin, 2006. 592 pp. ISBN: 0-395- 93596-2 (Trade Paper). US $20.00. The 4 edition of this guide is a much-expanded revision of the 3 edition published in 1976. As expected, species classifications, maps depicting ranges, and other information have received an update. The 4 edition is expanded in many other ways. th th rd Illustration: While the plates for the 3 edition were the same as those for the 2 , those for the 4 are completely new. The Species Accounts section is sprinkled throughout with National Geographic-quality photographs, with captions that aid in identification. rd nd th Reid's illustrations are the highlight. Trained in biology at Cambridge University in England, Reid slipped into scientific illustration work without any formal training according to her website (http://www.hopscotch.ca/fionareid). She works today in the Centre for Biodiversity and Conservation Biology at the incomparable Royal Ontario Museum in Toronto and is a worthy successor to the 3 rd edition's illustrator, Richard P. Grossenheider. Larger animals are drawn with a little background, which is an identification aid: The Bighorn Sheep is depicted on high rocks while the wild boar walks on forest leaves (look up for a jaguar). The 3 edition expressed habitat for some animals with some line drawings. The 4 edition pays particular attention to expanding listings of the smaller mammals. th rd References: the 4 edition uses color photos of skulls instead of the sometimes shadowy black and white photos (or line drawings of marine mammals) found in the previous edition. While the 3 references each rd th
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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 | 0.003 | 0.011 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.013 | 0.011 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.008 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.095 | 0.126 |
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".