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Bioarchaeology
studying the bones and teeth of the human skeleton
Cultural manifestations in the skeleton
activity markers, diet and subsistence, gender differences, the impact on them from social and cultural environments
How can identity be observed through burials
burial contexts and grave goods
DNA preservation
very little DNA past 100 thousand years and no survival after 1.5 million
Chaine Operatoire
Reconstructing the steps in the production process, understanding the materials, tools, and skills needed
Exoerimental vs experiential archaeology
Experimental - how something was achieved and how it works
Experiential - learning a technique, public engagement
Ethnoarchaeology
the study of both the present day use and significance of artefacts and structures within the living societies and the way these things are incorporated into the archaeological record
Ethnicity
a group of people on a given territory with common language and culture recognizing their unity in formations and name
Cultural relativism
social groups view and judge the world through the lens of their own culture
Cultural zone
geographical area with relatively homogeneous human activity
Four parts of ethnoarchaeology
the technical act, the subject, the production system, and the social group
The technical act
comparison between physical characteristic and ways of making it
The subject
how motor skills are acquired, how much practice and time is needed
The production system
which activities leave which types of material traces, for example, raw materials leave quarries and pits, trade leaves object distribution, etc.
The social group
Understanding the details and particularities of groups in how they organize themselves and the reflection of that in the record
Artefacts
Objects that were used, made, or modified by people
Three categories of big dats
volume, variety, and velocity
Volume
the amount of data coming from multiple sources
Variety
types of data, variety of different file types and structures
Velocity
the speed at which big data is generated
Big data in archaeology
Capacity to search, aggregate, and cross reference large data sets, universal demand to make data readily available
Where is data aggregated
open source websites, publications, museums, excavations
Proxy data
preserved physical characteristics that stand in for direct measurements
climate proxies
coral, tree rings, ice cores
environment proxies
pollen record
population fluctuation proxies
radiocarbon dates and proportion of infant burials
Downsides of big data
reduces archaeology to only quantifiable elements
Heritage
legacy from the past, what is lived with today, and what is passed on to future generations