Evidence map›Paper›PMID 36212164›Full record

ArticleArchaeological and anthropological sciences2022

Testing inter-observer error under a collaborative research framework for studying lithic shape variability.

Lucy Timbrell, Christopher Scott, Behailu Habte, Yosef Tefera, Hélène Monod, Mouna Qazzih, Benjamin Marais, Wendy Black, Christine Maroma, Emmanuel Ndiema and 4 more

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Article in Archaeological and anthropological sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

14 authors.

Lucy TimbrellDepartment of Archaeology, Classics and Egyptology, University of Liverpool, Liverpool, UK.
Christopher ScottDepartment of Archaeology, Classics and Egyptology, University of Liverpool, Liverpool, UK.
Behailu HabteAuthority for Research and Conservation of Cultural Heritage, National Museum of Ethiopia, Addis Ababa, Ethiopia.
Yosef TeferaAuthority for Research and Conservation of Cultural Heritage, National Museum of Ethiopia, Addis Ababa, Ethiopia.
Hélène MonodDépartement Homme Et Environnement, Musée de L'Homme, Paris, France.
Mouna QazzihInstitut National Des Sciences de L'Archéologie Et du Patrimoine, Rabat, Morocco.
Benjamin MaraisArchaeology Unit, Iziko Museums of South Africa, Cape Town, South Africa.
Wendy BlackArchaeology Unit, Iziko Museums of South Africa, Cape Town, South Africa.
Christine MaromaDepartment of Archaeology, National Museums of Kenya, Nairobi, Kenya.
Emmanuel NdiemaDepartment of Archaeology, National Museums of Kenya, Nairobi, Kenya.
Struan HendersonMossel Bay Archaeological Project, Western Cape Province, Cape Town, South Africa.
Katherine ElmesMossel Bay Archaeological Project, Western Cape Province, Cape Town, South Africa.
Kimberly PlompArchaeological Studies Program, University of the Philippines, Quezon City, Philippines.
Matt GroveDepartment of Archaeology, Classics and Egyptology, University of Liverpool, Liverpool, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Evaluating error that arises through the aggregation of data recorded by multiple observers is a key consideration in many metric and geometric morphometric analyses of stone tool shape. One of the most common approaches involves the convergence of observers for repeat trails on the same set of artefacts: however, this is logistically and financially challenging when collaborating internationally and/or at a large scale. We present and evaluate a unique alternative for testing inter-observer error, involving the development of 3D printed copies of a lithic reference collection for distribution among observers. With the aim of reducing error, clear protocols were developed for photographing and measuring the replicas, and inter-observer variability was assessed on the replicas in comparison with a corresponding data set recorded by a single observer. Our results demonstrate that, when the photography procedure is standardized and dimensions are clearly defined, the resulting metric and geometric morphometric data are minimally affected by inter-observer error, supporting this method as an effective solution for assessing error under collaborative research frameworks. Collaboration is becoming increasingly important within archaeological and anthropological sciences in order to increase the accessibility of samples, encourage dual-project development between foreign and local researchers and reduce the carbon footprint of collection-based research. This study offers a promising validation of a collaborative research design whereby researchers remotely work together to produce comparable data capturing lithic shape variability. Supplementary Information: The online version contains supplementary material available at 10.1007/s12520-022-01676-2.

Indexed as

3D printingGeometric morphometricsInter-observer reliabilityMetric measurementsStone tools

Identifiers

PMID36212164
PMCPMC9525927

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.