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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 sur OpenAlexaboutno aff
Luanne Freer

Notice bibliographique

RevueWilderness and Environmental Medicine · 2003
Typearticle
Langueen
DomaineEnvironmental Science
ThématiqueAnimal Ecology and Behavior Studies
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésWildernessFolkloreReading (process)HistoryPsychologyEcologyLawPolitical scienceArchaeologyBiology

Résumé

récupéré en direct d'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.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,256
Score d'incertitude au seuil0,998

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0010,002
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0030,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,017
Tête enseignante GPT0,225
Écart entre enseignants0,209 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2003
Routes d'admission1
Résumé présentoui

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