D 2013

Here’s looking at you, Fordisc®…

JURDA, Mikoláš, Petra URBANOVÁ and Miroslav DVOŘÁK

Basic information

Original name

Here’s looking at you, Fordisc®…

Authors

JURDA, Mikoláš (203 Czech Republic, guarantor, belonging to the institution), Petra URBANOVÁ (203 Czech Republic, belonging to the institution) and Miroslav DVOŘÁK (203 Czech Republic, belonging to the institution)

Edition

Bologna (It), Presentation from the 22nd Congress of the International Academy of Legal Medicine IALM 2012, p. 243-248, 6 pp. 2013

Publisher

Medimond

Other information

Language

English

Type of outcome

Stať ve sborníku

Field of Study

Archaeology, anthropology, ethnology

Country of publisher

Italy

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

storage medium (CD, DVD, flash disk)

References:

RIV identification code

RIV/00216224:14310/13:00068342

Organization unit

Faculty of Science

ISBN

978-88-7587-676-0

UT WoS

000320999000047

Keywords (in Czech)

Fordisc; určení pohlaví, populační afinita, lebeční rozměry, pohlavní rozdíly

Keywords in English

Fordisc; sex assessment; ancestry; cranial measurements; sexual dimorphism

Tags

International impact
Změněno: 5/3/2014 15:02, doc. RNDr. Petra Urbanová, Ph.D.

Abstract

V originále

The main goal of our study was to assess the reliability of discriminant functions generated using Fordisc 3 software when applied on human crania, which have no relevance to Fordisc reference populations. Sex and ancestry determination of 914 crania of known sex from six different skeletal collections (Athens, Coimbra, Lisbon, Săo Paulo and two collections from Prague) was carried out. Crania were analyzed using 13 cranial measures computed from 3D Cartesian coordinates of landmarks. Discriminate functions derived from both Howells and FDB database were used to assess sex and ancestry. The accuracy of sex determination varied between 67% and 78% depending on specified ancestry. The crania were assigned to their historically or geographically related reference population at a rate exceeding their odds but not with the widely accepted reliability of 95%. Our results support the assumptions that the reliability of Fordisc 3.1 is limited when the complete set of measurements is not available for the analysis and specimen doesn t belong to the reference population.