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Record W221861713 · doi:10.5070/g312510723

Review: A Field Guide to Mammals of North America by Fiona A. Reid

2007· article· en· W221861713 on OpenAlexaboutno aff
Kathy Piselli

Bibliographic record

VenueElectronic Green Journal · 2007
Typearticle
Languageen
FieldEnvironmental Science
TopicWildlife Ecology and Conservation
Canadian institutionsnot available
Fundersnot available
KeywordsField (mathematics)Environmental ethicsSociologyGeographyPhilosophyMathematics

Abstract

fetched live from OpenAlex

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

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.094
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0020.000

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 head0.004
GPT teacher head0.238
Teacher spread0.234 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

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

Citations0
Published2007
Admission routes1
Has abstractyes

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