Notice bibliographique
Résumé
Edited by Scott I. Fairgrieve, 340 pp, with illus, Springfield, Ill, Charles C Thomas Ltd, 1999.This is a book of case studies on how skeletal analysis is applied to human and animal remains in medicolegal cases. The book probes the limits of forensic osteology and examines both successes and failures. The book does not teach the reader how to establish identification from skeletal remains, but rather supplies useful practical information about how actual skeletal analyses have been performed in a wide variety of cases.The 20 chapters, written by 32 contributors, cover the broad gamut of forensic identification, including identifying human versus animal bones, sex determination, DNA analysis, cremated remains, historical cases, facial reconstruction, video superimposition, detection of strangulation, unusual skeletal anomalies, mass disasters, and human rights investigations. Material on the use of insects in death investigation is also included. There is an excellent discussion of the pathologic changes seen on human skeletons before, during, and after death.The chapter on mass disasters discusses a collision between a passenger train and a freight train that occurred near Hinton, Alberta, Canada, in February 1986, resulting in 23 fatalities. The collision caused massive deformation of the passenger and freight cars with entrapment of the victims. An intense diesel fuel fire supplemented by spilled grain and sulfur from the freight cars hampered recovery efforts. Cold weather and large amounts of burned railcar insulation, which simulated burned bone, further complicated the process.The chapter on the role of forensic anthropology in human rights issues presents compelling information on the difficulties encountered in investigating genocide cases on foreign soil. Among the obstacles to the exhumation of a 1991 mass grave at Ovcara, Croatia, believed to contain as many as 200 remains, were land minds, explosives, and military and political intimidation. During a 1994 civil war in Rwanda, Hutu extremists killed 500 000 to 800 000 Tutsi. Forensic experts, including forensic anthropologists, archeologists, and pathologists from various parts of the world, participated in the recovery and analysis of the skeletal remains that resulted from the genocide in the vicinity of a church in Kibuye, Rwanda. Heat, explosives, poisonous snakes, and heavy vegetation made the work hazardous.The illustrations used in the book are of excellent quality, were carefully selected, and greatly facilitate understanding. Excellent references accompany each chapter. The book is primarily designed for students of forensic anthropology and presumes a background in human anatomy and osteology. Forensic pathologists and dentists who do identification work will also find this book very useful. The book provides an excellent overview of the field of forensic anthropology. It clearly delineates the potential contribution that can be made by the forensic anthropologist and archeologist in cases involving skeletal remains and encourages the early involvement of these specialists in the recovery of those remains.
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 enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,090 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 0,000 |
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.
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 tête enseignante, 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 ».