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Birds of the Baja California Peninsula: Status, Distribution, and Taxonomy

2003· article· en· W1942531858 on OpenAlexaff
William T. Everett

Bibliographic record

VenueOrnithological Applications · 2003
Typearticle
Languageen
FieldSocial Sciences
TopicArchaeology and Natural History
Canadian institutionsYork University
Fundersnot available
KeywordsPeninsulaGeographyTaxonomy (biology)Distribution (mathematics)EcologyZoologyBiologyArchaeologyMathematics

Abstract

fetched live from OpenAlex

The Purple Martin.—Robin Doughty and Rob Fergus. 2002. University of Texas Press, Austin. viii + 93 pp., 18 text figures. ISBN 0-292-71615-X. $19.95 (cloth). Martin mania is serious madness, a contagious affliction affecting thousands of otherwise ordinary people in North America. I myself am a happy victim—each spring, all day and every day for week after week, we blast Purple Martin (Progne subis) dawn song from speakers located underneath our long-empty martin houses in the hopes of establishing a new colony. In The Purple Martin, Robin Doughty and Rob Fergus try to explain this madness to martin lovers and to bewildered onlookers. Purple Martins have long been one of America's favorite birds because they give us a unique window to the natural world from our own backyards. Martin landlords and bird enthusiasts will enjoy this book. This book provides a detailed and accurate species account of the classification, breeding range, and natural history of the species. These are the tools that martin landlords will need to truly understand the birds they devote so much time and energy to. The writing style in these chapters is somewhat dry and academic, so casual readers may have to work a bit to digest the information. For example, one of the more recently discovered and titillating aspects of Purple Martin behavior is their extra-pair mating system. Older males routinely copulate with the mates of young males, and DNA fingerprinting has shown that yearling males sire few young in their own nests! Older males even use dawn song to attract youngsters to join the colony. Yet, Doughty and Fergus describe this without enthusiasm by saying “older males may cuckold yearling counterparts as they copulate with untended yearling females.” The highlight of the book for me was the historical account of the early interest in martins by colonists and ornithologists during the 1700s and 1800s. Colonists observed Native Americans providing natural gourds as nest sites for martin colonies, so adopted this tradition and built birdhouses for martins. Martin houses were widespread and common in the eastern and southern U.S. even in the 1800s. Just think: people provided housing for and had a keen interest in martins before House Sparrows (Passer domesticus) and European Starlings (Sturnus vulgaris) began their rampage on North America. The next chapter is equally entertaining, as it describes the special role that Purple Martins played in the developing national interest in bird protection. The founder of the Audubon Society, George Grinnell, used martins as one of his examples for why the nation should protect, rather than harvest, birds. People have long housed, and even marketed, Purple Martins due to their presumed ability to eat pest insects. This book does a good job of presenting the facts on martin diets, which show they have a highly varied diet of flying insects of all sorts. The chapter on Purple Martin promotion details the many societies devoted to Purple Martins and their welfare. The book even features a classic photograph (p. 64) of a sign that claims that “martins can eat 2000 mosquitos a day.” This claim has been the subject of some disagreement among martin promoters and societies, though the book does not discuss this controversy. This book will be useful as a general reference on the species for academics as well as a somewhat technical treatment for your average birder and Purple Martin landlord with no specialized training in biology. It also has a review of some of the key scientific literature on Purple Martins, which will be helpful to martin landlords and birders who are interested in pursuing these topics further. I recommend this book especially for martin lovers; its matter-of-fact style delivers a wealth of facts that martin landlords will enjoy learning.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.379
Threshold uncertainty score0.754

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
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 head0.024
GPT teacher head0.270
Teacher spread0.245 · 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

Citations16
Published2003
Admission routes1
Has abstractno

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