Of Moose and Men: A Wildlife Vet’s Pursuit of the World’s Largest Deer
Notice bibliographique
Résumé
This is Dr. Jerry Haigh’s third autobiographical book. He also published “Wrestling with Rhinos” (2002), and “The Trouble with Lions” (2008). I have read “Wrestling with Rhinos,” but have not yet had the opportunity to read “The Trouble with Lions.” I can assure you that the book has been ordered, and this omission will shortly be rectified! In “Of Moose and Men”, we join Jerry in 1975, when he is still in Africa, and is just accepting a position with the Western College of Veterinary Medicine, Saskatoon, Saskatchewan. The book describes some of his early experiences as the college’s first zoo and wildlife veterinarian, and then plunges into his work studying cervids, particularly moose, around the world. Jerry guides the reader through a wide variety of moosey topics, ranging from the origin of the name “moose,” to an extensive discussion of antlers and moose sexuality, to fascinating descriptions of various instances of tamed moose around the world. He describes some of the early challenges he faced as a moose researcher working in northern Saskatchewan. These included discussions of the types of sedatives that were used (and the difficulty in acquiring them), and an ingenious way of weighing wild moose in the field. One of my favorite parts of the book was a section regarding a study Jerry participated in, which involved darting, attaching colored collars (this is pre radio collars), and weighing wild moose in the Cumberland Delta region of Saskatchewan. Jerry and the other researchers he was working with would literally leap out of a hovering helicopter into deep snow in order to guide darted moose into open terrain! Isn’t that what everyone fantasizes about when they think of wildlife medicine? All in all, I thoroughly enjoyed this book. I was lucky enough to take a Game Ranching rotation with Jerry when I was in my final year of vet school. I was very inspired by the much broader range of veterinary medicine he introduced me to, and that experience has significantly influenced my career path since. I always wondered, however, how it was that Jerry ended up in Saskatchewan in the first place. He is from Scotland, his wife is from India, and they met in Africa. You would think they could have chosen from a wide range of much more exotic locales to call home! I am Saskatchewan-born, and I love my home province, but choosing to leave a warm, beautiful place like Kenya to come here seemed bizarre. However, Jerry’s deep love of all things antlered comes through very clearly in this book, and I think it goes a long way to explaining why they ended up here. I will say that I found the first couple of chapters a bit challenging to read. I had expected a format a bit more akin to Jerry’s first book, “Wrestling with Rhinos”, which was more focused on Jerry’s life. While “Of Moose and Men” is partially an autobiography, large portions of it sort of wander away from telling Jerry’s life story, and delve into various topics regarding moose. When I wasn’t expecting this, I felt like the story telling was a bit disjointed, but once I got used to this idea, it flowed very well. This book is definitely worth a read.
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 machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,003 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,010 | 0,005 |
| Communication savante | 0,009 | 0,014 |
| Science ouverte | 0,001 | 0,004 |
| Intégrité de la recherche | 0,006 | 0,010 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,012 | 0,003 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».