Technical Note: Geometric Morphometrics and Sexual Dimorphism of the Greater Sciatic Notch in Adults From Two Skeletal Collections: The Accuracy and Reliability of Sex Classification

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F13%3A10145791" target="_blank" >RIV/00216208:11320/13:10145791 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/00216208:11310/13:10145791 RIV/00023272:_____/13:#0002043

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Technical Note: Geometric Morphometrics and Sexual Dimorphism of the Greater Sciatic Notch in Adults From Two Skeletal Collections: The Accuracy and Reliability of Sex Classification

Popis výsledku v původním jazyce

The greater sciatic notch (GSN) is one of the most important and frequently used characteristics for determining the sex of skeletons, but objective assessment of this characteristic is not without its difficulties. We tested the robustness of GSN sex classification on the basis of geometric morphometrics (GM) and support vector machines (SVM), using two different population samples. Using photographs, the shape of the GSN in 229 samples from two assemblages (documented collections of a Euroamerican population from the Maxwell Museum, University of New Mexico, and a Hispanic population from Universidad Nacional Autonoma de Mexico, Mexico City) was segmented automatically and evaluated using six curve representations. The optimal dimensionality for eachrepresentation was determined by finding the best sex classification. The classification accuracy of the six curve representations in our study was similar but the highest and concurrently homologous cross-validated accuracy of 92% was a

Název v anglickém jazyce

Technical Note: Geometric Morphometrics and Sexual Dimorphism of the Greater Sciatic Notch in Adults From Two Skeletal Collections: The Accuracy and Reliability of Sex Classification

Popis výsledku anglicky

The greater sciatic notch (GSN) is one of the most important and frequently used characteristics for determining the sex of skeletons, but objective assessment of this characteristic is not without its difficulties. We tested the robustness of GSN sex classification on the basis of geometric morphometrics (GM) and support vector machines (SVM), using two different population samples. Using photographs, the shape of the GSN in 229 samples from two assemblages (documented collections of a Euroamerican population from the Maxwell Museum, University of New Mexico, and a Hispanic population from Universidad Nacional Autonoma de Mexico, Mexico City) was segmented automatically and evaluated using six curve representations. The optimal dimensionality for eachrepresentation was determined by finding the best sex classification. The classification accuracy of the six curve representations in our study was similar but the highest and concurrently homologous cross-validated accuracy of 92% was a

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

AC - Archeologie, antropologie, etnologie

OECD FORD obor

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Projekt

<a href="/cs/project/GA206%2F07%2F0699" target="_blank" >GA206/07/0699: Biologická variabilita, zdravotní stav a sociální stratifikace raně středověké populace Velké Moravy: mikroevoluční změny</a><br>

Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2013

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

American Journal of Physical Anthropology

ISSN

0002-9483

e-ISSN

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Svazek periodika

152

Číslo periodika v rámci svazku

4

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

8

Strana od-do

558-565

Kód UT WoS článku

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EID výsledku v databázi Scopus

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