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Cited by 257

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Accuracy and direction of error in the sexing of the skeleton: Implications for paleodemography

Meindl, Richard S., Lovejoy, C. Owen, Mensforth, Robert P., Carlos, Lydia Don·1985·American Journal of Physical Anthropology

Abstract

Determinations of sex by subjective assessment of the skulls from a skeletal series of known sex were compared to fully independent assessments based on pelves of the same specimens. Within‐sex correlations of cranial and pelvic morphologies measured on an android‐gynecoid scale were smaller than expected. Subjective assessment by means of the skull compared favorably to that of the linear discriminant functions of Giles and Elliot; however, the direction of error was similar for both procedures. Of course, estimations based on the pelves were generally superior to both in terms of frequency and overall bias of error. The bias of sex estimation for paleodemographic purposes is contingent upon completeness of skeletal remains.

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Crossref · 10.1002/ajpa.1330680108

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Metadata

Authors
Meindl, R. S., Lovejoy, C. O., Mensforth, R. P., & Carlos, L. D.
Venue
American Journal of Physical Anthropology
Publisher
Wiley
Published
1985-09
Volume
68
Issue
1
Pages
79-85
ISSN
  • 0002-9483 (ISSN-L)
  • 1096-8644
OpenAlex
W1999927740
Cited by
257
References
1
FWCI
37.94
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Accuracy and direction of error in the sexing of the skeleton: Implications for paleodemography. https://app.cochat.ai/papers/10.1002/ajpa.1330680108
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Meindl, R. S., Lovejoy, C. O., Mensforth, R. P., & Carlos, L. D. (1985). Accuracy and direction of error in the sexing of the skeleton: Implications for paleodemography. American Journal of Physical Anthropology. https://doi.org/10.1002/ajpa.1330680108

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.