Invalid YAMLTitle: @grahamFleshingOutBones2018 date: 2023-01-17 type: reference project:
Graham, S., & Huffer, D. (2018). Fleshing Out the Bones: Studying the Human Remains Trade with Tensorflow and Inception. Journal of Computer Applications in Archaeology, 1(1), 55–63. https://doi.org/10.5334/jcaa.8
Graham and Huffer argue that if we look at enough pictures 'distantly', by which they mean, getting the computer to look for signals of visual similarity in a corpus of images culled from Instagram, we might see emergent signals of 'tropes' that can be understood as signalling larger cultural issues at play with regard to how mostly white, western people regard the dead. To build this argument, they walk us through how computer vision works, and the nature (representativeness) of the corpus they build using automatic scrapers. They make this argument in order to set the stage for more complex studies anticipated in the future, but also to argue that there is something there in the bone trade worth studying.
Annotations extracted; #todo/delete
The modern online trade in anatomical, ethnographic and archaeological human remains, especially using social media and e-commerce platforms such as Instagram, Facebook, Etsy, Marktplaats, Amazon.com, etc., is becoming documented and exposed (e.g. Huxley & Finnegan 2004; Huffer & Chappell 2014; Halling & Seidemann 2016; Huffer et al. in press).
great stuff!
Fleshing Out the Bones: Studying the Human Remains Trade with Tensorflow and Inception
another really great piece of work lads!