Notice bibliographique
Résumé
This textbook provides good reference information for veterinary practitioners and detail oriented shepherds. It has been expanded and updated from previous editions. The book is divided into 16 parts, containing a total of 75 chapters. The text has more information on diseases other than just those of sheep. The first part is about sheep in general, with country distribution statistics and use of sheep in Europe. Part 2 consists of chapters on the welfare of sheep, including standards and practices. Part 3, one of the most comprehensive and up-to-date parts, is titled “Reproductive Physiology” and contains chapters on reproductive and perinatal management. Most parts of the book are based on the systems approach to diseases. All body systems are covered, followed by information on poisons, tumors, and diseases. Finally, there is a part that compiles some useful information on flock management, therapeutics, anaesthesia, and postmortem diagnosis. The appendices include hematology and biochemistry reference tables for sheep, which are always good for clinicians to have close at hand. High quality color and black and white figures are included; all have informative legends and are helpful in understanding the concepts. The editor and contributors from the Moredun Research Institute are renowned for their expertise in sheep and animal health research. The list of invited contributors is extensive and they provide many perspectives. There is some inconsistency in the content of the disease sections, which may be due to having so many contributors and a flexible format. For example, most chapters on disease include a description of cause, clinical signs, epidemiology, treatment, and pathology. The therapeutic information ranges from very general to very detailed with specific dosages and holding times in only some of the chapters. In most pathology sections there is only a description of necropsy findings and occasionally in some chapters there is a detailed discussion of the pathogenesis of the diseases. As indicated in the 1st chapter, the book is truly based on the “UK perspective of the World.” There are only 2 contributing authors from North America, one of whom has been in Canada only a few years, and had developed his disease expertise in the UK. There is a short chapter on regional differences of sheep diseases within North America and minimal reference to epidemiological differences that exist around the world. For example, Q fever, which is emerging as a highly significant cause of reproductive disease in sheep in some countries and is a very significant concern for the international sheep trade, is inadequately described. In summary, this is not a textbook that provides extensive detail on diseases of sheep, although it is generally comprehensive. The additional chapters, which are not specifically about diseases, are informative but are somewhat out of place for the student of veterinary medicine or practitioner looking for an indepth reference for diseases of sheep. The quality of the publication is high and so is the price. The number of textbooks that address problems of sheep are few, and this one ranks among the best in my experience.
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 | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,002 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,003 | 0,002 |
| Science ouverte | 0,002 | 0,002 |
| Intégrité de la recherche | 0,002 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,069 | 0,065 |
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 ».