The Experts below are selected from a list of 903 Experts worldwide ranked by ideXlab platform
John Robb - One of the best experts on this subject based on the ideXlab platform.
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evaluating macroscopic sex estimation methods using genetically sexed archaeological material the medieval skeletal collection from st john s divinity school cambridge
American Journal of Physical Anthropology, 2019Co-Authors: Sarah Inskip, Christiana L Scheib, Anthony Wilder Wohns, Xiangyu Ge, Toomas Kivisild, John RobbAbstract:OBJECTIVES: In tests on known individuals macroscopic sex estimation has between 70% and 98% accuracy. However, materials used to create and test these methods are overwhelming modern. As sexual dimorphism is dependent on multiple factors, it is unclear whether macroscopic methods have similar success on earlier materials, which differ in lifestyle and nutrition. This research aims to assess the accuracy of commonly used traits by comparing macroscopic sex estimates to genetic sex in medieval English material. MATERIALS AND METHODS: Sixty-six individuals from the 13th to 16th century Hospital of St John the Evangelist, Cambridge, were assessed. Genetic sex was determined using a shotgun approach. Eighteen skeletal traits were examined, and macroscopic sex estimates were derived from the os coxae, skull, and os coxae and skull combined. Each trait was tested for accuracy to explore sex estimates errors. RESULTS: The combined estimate (97.7%) outperformed the os coxae only estimate (95.7%), which outperformed the skull only estimate (90.4%). Accuracy rates for individual traits varied: Phenice traits were most accurate, whereas supraorbital margins, Frontal Bossing, and gonial flaring were least accurate. The preauricular sulcus and arc compose showed a bias in accuracy between sexes. DISCUSSION: Macroscopic sex estimates are accurate when applied to medieval material from Cambridge. However, low trait accuracy rates may relate to differences in dimorphism between the method derivative sample and the St John's collection. Given the sex bias, the preauricular sulcus, Frontal Bossing, and arc compose should be reconsidered as appropriate traits for sex estimation for this group.
Toomas Kivisild - One of the best experts on this subject based on the ideXlab platform.
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evaluating macroscopic sex estimation methods using genetically sexed archaeological material the medieval skeletal collection from st john s divinity school cambridge
American Journal of Physical Anthropology, 2019Co-Authors: Sarah Inskip, Christiana L Scheib, Anthony Wilder Wohns, Xiangyu Ge, Toomas Kivisild, John RobbAbstract:OBJECTIVES: In tests on known individuals macroscopic sex estimation has between 70% and 98% accuracy. However, materials used to create and test these methods are overwhelming modern. As sexual dimorphism is dependent on multiple factors, it is unclear whether macroscopic methods have similar success on earlier materials, which differ in lifestyle and nutrition. This research aims to assess the accuracy of commonly used traits by comparing macroscopic sex estimates to genetic sex in medieval English material. MATERIALS AND METHODS: Sixty-six individuals from the 13th to 16th century Hospital of St John the Evangelist, Cambridge, were assessed. Genetic sex was determined using a shotgun approach. Eighteen skeletal traits were examined, and macroscopic sex estimates were derived from the os coxae, skull, and os coxae and skull combined. Each trait was tested for accuracy to explore sex estimates errors. RESULTS: The combined estimate (97.7%) outperformed the os coxae only estimate (95.7%), which outperformed the skull only estimate (90.4%). Accuracy rates for individual traits varied: Phenice traits were most accurate, whereas supraorbital margins, Frontal Bossing, and gonial flaring were least accurate. The preauricular sulcus and arc compose showed a bias in accuracy between sexes. DISCUSSION: Macroscopic sex estimates are accurate when applied to medieval material from Cambridge. However, low trait accuracy rates may relate to differences in dimorphism between the method derivative sample and the St John's collection. Given the sex bias, the preauricular sulcus, Frontal Bossing, and arc compose should be reconsidered as appropriate traits for sex estimation for this group.
Christiana L Scheib - One of the best experts on this subject based on the ideXlab platform.
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evaluating macroscopic sex estimation methods using genetically sexed archaeological material the medieval skeletal collection from st john s divinity school cambridge
American Journal of Physical Anthropology, 2019Co-Authors: Sarah Inskip, Christiana L Scheib, Anthony Wilder Wohns, Xiangyu Ge, Toomas Kivisild, John RobbAbstract:OBJECTIVES: In tests on known individuals macroscopic sex estimation has between 70% and 98% accuracy. However, materials used to create and test these methods are overwhelming modern. As sexual dimorphism is dependent on multiple factors, it is unclear whether macroscopic methods have similar success on earlier materials, which differ in lifestyle and nutrition. This research aims to assess the accuracy of commonly used traits by comparing macroscopic sex estimates to genetic sex in medieval English material. MATERIALS AND METHODS: Sixty-six individuals from the 13th to 16th century Hospital of St John the Evangelist, Cambridge, were assessed. Genetic sex was determined using a shotgun approach. Eighteen skeletal traits were examined, and macroscopic sex estimates were derived from the os coxae, skull, and os coxae and skull combined. Each trait was tested for accuracy to explore sex estimates errors. RESULTS: The combined estimate (97.7%) outperformed the os coxae only estimate (95.7%), which outperformed the skull only estimate (90.4%). Accuracy rates for individual traits varied: Phenice traits were most accurate, whereas supraorbital margins, Frontal Bossing, and gonial flaring were least accurate. The preauricular sulcus and arc compose showed a bias in accuracy between sexes. DISCUSSION: Macroscopic sex estimates are accurate when applied to medieval material from Cambridge. However, low trait accuracy rates may relate to differences in dimorphism between the method derivative sample and the St John's collection. Given the sex bias, the preauricular sulcus, Frontal Bossing, and arc compose should be reconsidered as appropriate traits for sex estimation for this group.
Robb John - One of the best experts on this subject based on the ideXlab platform.
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Evaluating macroscopic sex estimation methods using genetically sexed archaeological material: The medieval skeletal collection from St John's Divinity School, Cambridge
'Wiley', 2019Co-Authors: Inskip Sarah, Scheib, Christiana L, Wohns, Anthony Wilder, Ge Xiangyu, Kivisild Toomas, Robb JohnAbstract:OBJECTIVES: In tests on known individuals macroscopic sex estimation has between 70% and 98% accuracy. However, materials used to create and test these methods are overwhelming modern. As sexual dimorphism is dependent on multiple factors, it is unclear whether macroscopic methods have similar success on earlier materials, which differ in lifestyle and nutrition. This research aims to assess the accuracy of commonly used traits by comparing macroscopic sex estimates to genetic sex in medieval English material. MATERIALS AND METHODS: Sixty-six individuals from the 13th to 16th century Hospital of St John the Evangelist, Cambridge, were assessed. Genetic sex was determined using a shotgun approach. Eighteen skeletal traits were examined, and macroscopic sex estimates were derived from the os coxae, skull, and os coxae and skull combined. Each trait was tested for accuracy to explore sex estimates errors. RESULTS: The combined estimate (97.7%) outperformed the os coxae only estimate (95.7%), which outperformed the skull only estimate (90.4%). Accuracy rates for individual traits varied: Phenice traits were most accurate, whereas supraorbital margins, Frontal Bossing, and gonial flaring were least accurate. The preauricular sulcus and arc compose showed a bias in accuracy between sexes. DISCUSSION: Macroscopic sex estimates are accurate when applied to medieval material from Cambridge. However, low trait accuracy rates may relate to differences in dimorphism between the method derivative sample and the St John's collection. Given the sex bias, the preauricular sulcus, Frontal Bossing, and arc compose should be reconsidered as appropriate traits for sex estimation for this group.status: publishe
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Evaluating macroscopic sex estimation methods using genetically sexed archaeological material: The medieval skeletal collection from St John's Divinity School, Cambridge.
'Organisation for Economic Co-Operation and Development (OECD)', 2019Co-Authors: Scheib, Christiana L, Wohns, Anthony Wilder, Ge Xiangyu, Kivisild Toomas, Robb John, Inskip, Sarah AliceAbstract:Objectives: In tests on known individuals macroscopic sex estimation has between 70% and 98% accuracy. However, material used to create and test these methods are overwhelming modern. As sexual dimorphism is dependent on multiple factors, it is unclear whether macroscopic methods have similar success on earlier material, which differ in lifestyle and nutrition. This research aims to assess the accuracy of commonly used traits by comparing macroscopic sex estimates to genetic sex in medieval English material. Materials and Methods: Sixty-six individuals from the 13th to 16th century Hospital of St John the Evangelist, Cambridge, were assessed. Genetic sex was determined using a shotgun approach. Eighteen skeletal traits were examined, and macroscopic sex estimates were derived from the os coxae, skull, and os coxae and skull combined. Each trait was tested for accuracy to explore sex estimates errors. Results: The combined estimate (97.7%) outperformed the os coxae only estimate (95.7%), which outperformed the skull only estimate (90.4%). Accuracy rates for individual traits varied: Phenice traits were most accurate, while supraorbital margins, Frontal Bossing, and gonial flaring were least accurate. The preauricular sulcus and arc composé showed a bias in accuracy between sexes. Discussion: Macroscopic sex estimates are accurate when applied to medieval material from Cambridge. However, low trait accuracy rates may relate to differences in dimorphism between the method derivative sample and the St John’s collection. Given the sex bias, the preauricular sulcus, Frontal Bossing, and arc composé should be reconsidered as appropriate traits for sex estimation for this group.St John's College, Cambridg
Sarah Inskip - One of the best experts on this subject based on the ideXlab platform.
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evaluating macroscopic sex estimation methods using genetically sexed archaeological material the medieval skeletal collection from st john s divinity school cambridge
American Journal of Physical Anthropology, 2019Co-Authors: Sarah Inskip, Christiana L Scheib, Anthony Wilder Wohns, Xiangyu Ge, Toomas Kivisild, John RobbAbstract:OBJECTIVES: In tests on known individuals macroscopic sex estimation has between 70% and 98% accuracy. However, materials used to create and test these methods are overwhelming modern. As sexual dimorphism is dependent on multiple factors, it is unclear whether macroscopic methods have similar success on earlier materials, which differ in lifestyle and nutrition. This research aims to assess the accuracy of commonly used traits by comparing macroscopic sex estimates to genetic sex in medieval English material. MATERIALS AND METHODS: Sixty-six individuals from the 13th to 16th century Hospital of St John the Evangelist, Cambridge, were assessed. Genetic sex was determined using a shotgun approach. Eighteen skeletal traits were examined, and macroscopic sex estimates were derived from the os coxae, skull, and os coxae and skull combined. Each trait was tested for accuracy to explore sex estimates errors. RESULTS: The combined estimate (97.7%) outperformed the os coxae only estimate (95.7%), which outperformed the skull only estimate (90.4%). Accuracy rates for individual traits varied: Phenice traits were most accurate, whereas supraorbital margins, Frontal Bossing, and gonial flaring were least accurate. The preauricular sulcus and arc compose showed a bias in accuracy between sexes. DISCUSSION: Macroscopic sex estimates are accurate when applied to medieval material from Cambridge. However, low trait accuracy rates may relate to differences in dimorphism between the method derivative sample and the St John's collection. Given the sex bias, the preauricular sulcus, Frontal Bossing, and arc compose should be reconsidered as appropriate traits for sex estimation for this group.
