Home ›
Entities
› academia
› Biometric variables predict stone tool functional performance more effectively than tool‐form attributes: a case study in handaxe loading capabilities
Biometric variables predict stone tool functional performance more effectively than tool‐form attributes: a case study in handaxe loading capabilities
Research article (Archaeometry, 2018) · cited 24× · AI/ML
Biometric variables predict stone tool functional performance more effectively than tool‐form attributes: a case study in handaxe loading capabilities
Summary
Biometric variables predict stone tool functional performance more effectively than tool‐form attributes: a case study in handaxe loading capabilities is a scholarly article[1].
Key Facts
Biometric variables predict stone tool functional performance more effectively than tool‐form attributes: a case study in handaxe loading capabilities's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Biometric variables predict stone tool functional performance more effectively than tool‐form attributes: a case study in handaxe loading capabilities. Retrieved May 24, 2026, from https://4ort.xyz/entity/biometric-variables-predict-stone-tool-functional-performance-more-effectively-than-toolform-attributes-a-case-study-in-
MLA“Biometric variables predict stone tool functional performance more effectively than tool‐form attributes: a case study in handaxe loading capabilities.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/biometric-variables-predict-stone-tool-functional-performance-more-effectively-than-toolform-attributes-a-case-study-in-.
BibTeX@misc{4ortxyz_biometric-variables-predict-stone-tool-functional-performance-more-effectively-than-toolform-attributes-a-case-study-in-_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Biometric variables predict stone tool functional performance more effectively than tool‐form attributes: a case study in handaxe loading capabilities}}, year = {2026}, url = {https://4ort.xyz/entity/biometric-variables-predict-stone-tool-functional-performance-more-effectively-than-toolform-attributes-a-case-study-in-}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Biometric variables predict stone tool functional performance more effectively than tool‐form attributes: a case study in handaxe loading capabilities — https://4ort.xyz/entity/biometric-variables-predict-stone-tool-functional-performance-more-effectively-than-toolform-attributes-a-case-study-in- (retrieved 2026-05-24)
