Practice makes perfect? Inter‐analyst variation in the identification of fish remains from archaeological sites
Bibliographic Data
| ID | 7809723 |
|---|---|
| Authors | Alicia L Hawkins (0000-0002-4173-9835, Department of Anthropology University of Toronto Mississauga Mississauga ON Canada, corresponding author), Michael Buckley (0000-0002-4166-8213, School of Natural Sciences, Manchester Institute of Biotechnology The University of Manchester Manchester), Suzanne Needs‐howarth (0000-0003-4040-0810, Perca Zooarchaeological Research, Toronto, Canada; The Archaeology Centre University of Toronto Toronto ON Canada), Trevor J Orchard (0000-0001-9040-7522, Department of Anthropology University of Toronto Mississauga Mississauga ON Canada) |
| Year | 2022 |
| Volume | 32 |
| Issue | 3 |
| Pages | 694-705 |
| Publication date | 2022-05-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Osteoarchaeology (JOURNAL) |
| Journal identifiers | ISSN: 1047-482X • E-ISSN: 1099-1212 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1002/oa.3096 |
| OpenAlex | W4214622630 |
| Language | EN |
| Citations received | 8 |
| References cited | 18 |
Identification of faunal specimens based on a morphological comparison with known‐identity reference specimens is the standard methodology used in zooarchaeological analysis. However, the accuracy of identifications is rarely considered. In this paper, we report results of an experiment in which 13 analysts were asked to identify 50 fish skeletal elements from a reference collection and 50 fish skeletal elements from an archaeological collection in southern Ontario. The type and level of experience of the analysts and the amount of time they invested in the identification were controlled. The archaeological specimens were subsequently identified taxonomically using ZooMS. Our findings demonstrate that taxonomic and element identifications are far from perfect, both in the reference collection set and in the archaeological collection set. Probable contributing factors include the richness of taxonomic groups; distinctiveness of skeletal morphology; experience level of the analyst; and size of the individual specimens and whether the analyst had access to comprehensive, well‐labeled reference collections. We recommend emphasis be placed in training on the importance, for most species, of not making a taxonomic identification unless the element identification is certain; conservatism in identification of species in groups with many members; clear knowledge of the range of species possible within a region; and active involvement by the instructor or mentor to ensure that neophyte analysts are corrected
Archaeology · Biology · Evolutionary biology · Fish · Fishery · Geography · Optimal distinctiveness theory · Species identification · Species richness · Computer Science · Forensic Anthropology and Bioarchaeology Studies · Identification and Quantification in Food · Psychology · Wildlife Ecology and Conservation · Ecology
Improving elasmobranch baselines in the California Channel Islands through ZooMS and stable isotope analyses
Collagen fingerprinting of Caribbean archaeological fish bones
ZooMS as a tool for understanding prehistoric pelagic fishing
Biodiversity science of ancient fisheries
Broad-spectrum fishing and small fish use in Late Neolithic Taiwan
Fish and Fishing in the Southern Columbia Plateau and Northwestern Great Basin during the Late Pleistocene and Early Holocene
AutoZooMS
Considering passenger pigeon abundance and distribution in the Late Woodland zooarchaeological record of southern Ontario, Canada
Zooarchaeology in Practice
L’étude des ossements animaux en contexte d’archéologie préventive
Beyond the local fishing hole
A probabilistic model for distinguishing between sheep and goat postcranial remains
Assumptions and Protocol of the Taxonomic Identification of Faunal Remains in Zooarchaeology
Data Quality in Zooarchaeological Faunal Identification
A Critique of Faunal Analysis; Inconsistency among Experts in Blind Tests
Zooarchaeology in the era of big data
Virtual zooarchaeology
Assessing reproducibility in faunal analysis using blind tests
Zooarchaeology in Complex Societies
Identification, Classification and Zooarchaeology
Identifying and siding the stylohyoid bone for North American artiodactyls
Assessing Protocols for Identifying Pacific Island Archaeological Fish Remains
Blind Testing of Faunal Identification Protocols
| Unique citing works | 8 |
|---|---|
| Citations per year | 2 |
| Citation span | 2022 - 2026 (5) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 7 |