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Record W2550797592 · doi:10.1353/gpr.2016.0040

Winter’s Hawk: Red-tails on the Southern Plains by Jim Lish

2016· article· en· W2550797592 on OpenAlexaboutno aff
James Hewlett

Bibliographic record

VenueGreat Plains research · 2016
Typearticle
Languageen
FieldEnvironmental Science
TopicWildlife Ecology and Conservation
Canadian institutionsnot available
Fundersnot available
KeywordsBayShoreArchaeologyGeographyOceanographyPhysical geographyGeology

Abstract

fetched live from OpenAlex

Reviewed by: Winter’s Hawk: Red-tails on the Southern Plains by Jim Lish James A. Hewlett Winter’s Hawk: Red-tails on the Southern Plains. By Jim Lish. Norman: University of Oklahoma Press, 2015. xi + 163 pp. Illustrations, map, references, index. $24.95 paper. Approximately 15 miles northwest of Rochester, New York, the southern shore of Lake Ontario bends slightly to the southeast near Braddock Bay before continuing its eastward expanse toward Sodus Point. This innocuous feature on the map is unlikely to give anyone pause for thought, but for a red-tail hawk traversing the shoreline, a pause is exactly what this geographical twist demands. Carried by the southwest winds that develop during the warming days of early summer, thousands [End Page 146] of juvenile red-tailed hawks are pushed to the northeast from their Ohio Valley nesting grounds and then funneled into Braddock Bay as the cold Lake Ontario waters shut down the thermals that the hawks rely on for their migration. For naturalists and researchers, Braddock Bay’s geographical location makes it one of the prime locations in North America to observe the mass migration of a variety of raptor species. As a biologist studying red-tailed hawks, I have had the great fortune of having access to the natural treasure that exists along the shores of Lake Ontario. While my tenure observing and studying this raptor has spanned the last 10 years, this pales in comparison to the more than 50 years that Jim Lish has spent observing red-tails on the tallgrass prairies of Oklahoma. Like western New York, the Southern Plains are a unique geographical destination for a mass migration of red-tails moving along a flyway that stretches from Alaska and Canada, south along the Great Plains, and into Mexico. Every winter, red-tail hawks migrate south, often pushed along Arctic fronts sweeping out of Canada, to winter in the Southern Plains. Lish’s observations, focused primarily in his home state of Oklahoma, include some of the highest densities of wintering red-tailed hawks ever reported. Observers traveling through portions of western Oklahoma during peak months may find wintering red-tails in densities of one per mile. Lish combines basic biology with classic natural history and nature writing to engage the reader in a story that is both entertaining and educational. His passion for Buteo, and the depth of experience he has gained through years of observation and study, drive a narrative that will appeal to a broad audience. Scholars of natural history will at times recognize a style similar to the works of Aldo Leopold, and a structure resembling many classic 19th-century works. The hand-drawn color plates of a classic natural history work have been replaced here by over 180 color photographs that capture the characteristics and behavior of North America’s most abundant hawk species. While some of the most engaging photographs include hawks posing on a variety of perch substrates, Lish clearly understands the need to utilize underside views of the raptors in flight—a view most commonly experienced in the field and used to identify birds of prey. A two-page, scaled, side-by-side comparison of 24 adult and juvenile red-tailed hawks of various races is a highlight of the text, and is at the core of a lengthy discussion of the variation that exists within Oklahoma’s wintering population. Winter’s Hawk is a must-read for anyone interested in red-tailed hawks, but it will appeal to all readers with an interest in ornithology, nature photography, and natural history. James A. Hewlett Department of Science and Technology Finger Lakes Community College Canandaigua, New York Copyright © 2016 Center for Great Plains Studies, University of Nebraska–Lincoln

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.206
Threshold uncertainty score0.688

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.2060.097

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 head0.053
GPT teacher head0.292
Teacher spread0.239 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2016
Admission routes1
Has abstractyes

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