Body part representation and the extended analysis of New Zealand fishbone
Bibliographic Data
| ID | 6038216 |
|---|---|
| Authors | Matthew Campbell (0000-0002-1346-3325, CFG Heritage Ltd Auckland, corresponding author) |
| Year | 2016 |
| Volume | 51 |
| Issue | 1 |
| Pages | 18-30 |
| Publication date | 2016-04-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Archaeology in Oceania/Archæology & physical anthropology in Oceania (JOURNAL) |
| Journal identifiers | ISSN: 0728-4896 • E-ISSN: 1834-4453 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1002/arco.5079 |
| OpenAlex | W2550686950 |
| Language | EN |
| Citations received | 11 |
| References cited | 9 |
The conventional method of archaeological fishbone analysis employed in New Zealand for the past 40 years has been to identify five major mouthparts – dentary, articular, quadrate, maxilla and premaxilla – to the lowest possible taxonomic level. This method has the advantage of being relatively fast and easily learnt, and provides robust cross‐assemblage and cross‐site comparisons. Recent analyses have extended this method to include further sub‐cranial and cranial elements as well as vertebrae. So far, few New Zealand assemblages have been analysed using this method. This paper looks at the analysis of two of them: Parton Road (U14/2876) at Papamoa, Bay of Plenty; and Urquharts Bay (Q07/751) on the Whangarei Harbour, Northland. The results show that more species can be found across more contexts using the extended method, and that comparisons of cranial and vertebral counts demonstrate variation in the treatment of body parts
Archaeology · Arthropod mouthparts · Assemblage (archaeology · Bay · Biology · Geography · Harbour · Maxilla · Premaxilla · Quadrate bone · Representation (politics · Computer Science · Forensic Anthropology and Bioarchaeology Studies · Maritime and Coastal Archaeology · Pacific and Southeast Asian Studies · Anatomy · Ecology · Geology · Paleontology
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| Unique citing works | 11 |
|---|---|
| Citations per year | 1,1 |
| Citation span | 2016 - 2026 (11) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 11 |