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Stephen Herrero, Bear Attacks: Their Causes and Avoidance (revised edition), The Lyons Press, Guilford, CT (2002) (original edition 1985) US $16.95, 282 pages, softcover.

2003· article· en· W2903122024 on OpenAlexaboutno aff
Luanne Freer

Bibliographic record

VenueWilderness and Environmental Medicine · 2003
Typearticle
Languageen
FieldEnvironmental Science
TopicAnimal Ecology and Behavior Studies
Canadian institutionsnot available
Fundersnot available
KeywordsWildernessFolkloreReading (process)HistoryPsychologyEcologyLawPolitical scienceArchaeologyBiology

Abstract

fetched live from OpenAlex

Bear Attacks: Their Causes and Avoidance is the ultimate reference book on North American brown and black bears. Unlike any other book on the market about bear attacks (and there are many!), this text is based on science rather than sensational accounts and folklore. If you are looking to be scared out of your sleeping bag and deluged with gory details of bear attacks, read one of the other books. But if you want to learn about bears, why they act as they do, and how humans should behave in the wilderness, then this book is not only worth reading, but it is very likely to give you the tools you need to save your life in a bear encounter. Herrero's mission, which he achieves grandly, is to empower people to decrease the likelihood of encounters with bears by teaching bear biology and ecology—not only to protect people but to conserve bears. The author's lifelong experience, both personal and professional, gives him unparalleled expertise in the behavior of bears, and many of the studies he references are from his own original research as Professor of Biology at the University of Calgary. He teaches us how to recognize bears (different types of bears have vastly different responses to the same situation), where bears are likely to be (based on season of year and foods available), and how to recognize if a bear has been nearby (and how recently). Because of his years of research and interviews of bear-attack victims, he has compiled a very useful and reproducible set of suggestions for people who encounter a wild bear. From how to best avoid an encounter to how to behave when under attack by a bear, Herrero's observations have educated thousands and surely have saved many lives. The text has plenty of maps, line drawings, and photographs (all black and white) to illustrate everything from the range of the grizzly bear to the differences between black and brown bear tracks to the posture one should assume in case of attack. It is disappointing that many of the photos and drawings are fuzzy or overexposed, obviously rephotographed from the original text. In many cases, the quality of the art or photo is much clearer and of better quality in the 1985 edition. Shame on the publisher for cutting corners and for advertising this revised edition as “thoroughly revised and updated.” Aside from the new introduction and the addition of a discussion on cayenne pepper spray, trail design, and perimeter monitoring systems, most of the text is unchanged and identical to the 1985 version. As the author says in his introduction, bears’ behavior has not changed much in the past 20 years. Marketing ploy? Perhaps, but I will let it slide. Even if you buy the revised edition and realize that you have essentially reread most of the 1985 version, you will still be entertained and informed. People who work or recreate in bear country probably need a refresher every 15 years or so anyway. The information is accurate, and no one has done a better job in the last 17 years. Herrero's Bear Attacks remains the ultimate resource on North American bears for both the highly educated bear biologist and the lay person alike.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.256
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.017
GPT teacher head0.225
Teacher spread0.209 · 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 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
Published2003
Admission routes1
Has abstractyes

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