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Enregistrement W4229879374 · doi:10.1086/506284

Forensic Anthropology

2006· article· en· W4229879374 sur OpenAlex
Erin R. Wayman

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aboutLe titre ou le résumé porte un signal canadien du lexique géographique.
no affAucune affiliation canadienne : ce travail est invisible pour une base fondée sur la seule affiliation.
Aucune affiliation canadienne. Une base fondée sur la seule affiliation (le devis habituel) n'aurait jamais vu ce travail. C'est l'un des travaux qui justifient l'inversion de la base.

Notice bibliographique

RevueCurrent Anthropology · 2006
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueVietnamese History and Culture Studies
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésParallelsCharacter (mathematics)AnthropologyArt historyHistorySociologyArtLiterature

Résumé

récupéré en direct d'OpenAlex

Previous articleNext article FreeCurrent ApplicationsForensic AnthropologyE.R.WaymanE.R.Wayman Search for more articles by this author PDFPDF PLUSFull Text Add to favoritesDownload CitationTrack CitationsPermissionsReprints Share onFacebookTwitterLinked InRedditEmailQR Code SectionsMoreAn Anthropological Education through Fictional AnthropologyAs a forensic anthropologist for Quebecs Laboratoire des Sciences Judiciares et de Mdecine Lgale and an anthropology professor at the University of North Carolina at Charlotte, Temperance Brennan has seen more than her share of crime scenes and decomposed bodies. This seasoned professional is a fictional characterstar of popular mystery novels such as Dj Dead, Grave Secrets, and Cross Bonescreated by Kathy Reichs, a novelist and the realworld counterpart of the fictional Brennan.Emily Deschanel, who portrays Temperance Brennan, prepares for a scene on the set of the TV show Bones.View Large ImageDownload PowerPointThroughout most of her 30year career, Reichs has applied her knowledge of forensic anthropology to identifying bodies not only in North Carolina and in Quebec but also in New York City after 9/11 and in Rwanda and Guatemala. Now she writes internationally bestselling novels that not only entertain her millions of readers but also educate them about the field of anthropology.Reichs began writing her first novel in 1994; after becoming a full professor at the University of North Carolina at Charlotte, she felt free to try something new. In her novels she has created a character whose professional life parallels her own. Each of my books, Reichs explained, springs from a case or something I have done. For example, in Deadly Decisions Brennan helps solve the murders of people killed by motorcycle gangs in Quebec, and in Death du Jour she helps the Catholic Church to verify the bones of a proposed saint and then stumbles onto cult killingsboth of which Reichs has done herself.Reichs not only draws on reallife cases for inspiration for her plots but also uses her expertise to enhance her stories with details that provide readers with an introduction to forensic anthropology. The real challenge in writing fiction, Reichs explained, is keeping the science accurate, but short, and also entertaining. To accomplish this, she includes detail not just for the sake of descriptive atmosphere but to further her story. For example, in Dj Dead Brennan explains to a police detective how she determined what kind of saw dismembered a body, detailing how she could use the details of the cut marks to determine a variety of characteristics of the saw that was used to make them. The similarity of the ways in which several victims bodies were dismembered and mutilated leads her to the conclusion that one serial killer was responsible for all of these crimes. In the same book Brennan uses bitemark analysis to determine that the marks left behind on a piece of cheese in the killers apartment do not match those of a suspect held in custody.The success of Reichss novels has led to the creation of an American TV show, Bones, based on the Brennan character. Although Reichs does not write scripts for the show, she is a producer and acts as a scientific adviser, reading each script to ensure scientific accuracy. As in the books, forensic details are incorporated into each story. In the pilot episode, a decomposed body is discovered in a pond in Arlington National Cemetery in Washington, D.C., and Brennan is called upon to help identify it. She determines that the victim is a woman (from the shape of the pelvis) approximately 1823 years old (from the epiphyseal fusion of the long bones) who probably enjoyed playing tennis (from the wear on the shoulder bones, indicating that the victim had bursitis). Later, with the aid of an entomologist colleague, Brennan determines that the victim has been dead for at least two summers and a winter on the basis of the larval stages of the various species of flies found on the corpse.Reichs's books are published in 29 languages, and during Fall 2005 and Winter 2006 Nielsen Media Research estimated that an average of 8.4 million viewers tuned in to Bones each week. By presenting science in an entertaining and realistic way, Reichs is not only educating people but also probably inspiring many undergraduates to enroll in introductory anthropology classes. Previous articleNext article DetailsFiguresReferencesCited by Current Anthropology Volume 47, Number 4August 2006 Sponsored by the Wenner-Gren Foundation for Anthropological Research Article DOIhttps://doi.org/10.1086/506284 Views: 665Total views on this site Citations: 1Citations are reported from Crossref PDF download Crossref reports the following articles citing this article:Annie R. Specht Killer Corn and Capitalist Pigs: Forensic Noir and Television Portrayals of Modern Agricultural Technology, Culture, Agriculture, Food and Environment 35, no.22 (Dec 2013): 152–161.https://doi.org/10.1111/cuag.12018

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.

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 candidatesÉtudes des sciences et des technologies, Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesÉtudes des sciences et des technologies
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,883
Score d'incertitude au seuil0,999

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 technologies0,0030,007
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0040,000

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 Opus0,030
Tête enseignante GPT0,360
Écart entre enseignants0,330 · 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