What is infrapolitics Infrapolitics is suggested by James C. Scott (Bourbeau et al., 2018). He explains how subordinating people confront authority and force through being lazy, dissimulation, pretending to follow, and avoiding sanctions (Scott, 2008). The mass is considered subordinating because they are underprivileged against the power. Their style of

Gender inequality is a historical problem that exists in all areas of society, which appears in the household, in the workspace, and also in academia (Huang et al.,2020). In 1914, the British Association for the Advancement of Science held its annual conference in Australia. more than 300 of the world’s

What is it We all know what a hashtag is: it brings attention to a topic is a post or social media, it stemmed from an idea by Chris Messiner back on August 23rd, 2007 when he thought of an idea to use the hashtag as a way to group

Bias, is a significant and ubiquitous influence on data collection, reflecting the zeitgeist, beliefs, social taboos and sentiment of the archivists through the ages. It’s ultimately unavoidable that political and social prejudices impact the way we store and collect data. It is therefore not surprising that data collection in the West has vestigial ties

In a broad sense, Machine learning (ML) describes an algorithmic process that allows categorical derivation of mathematical classifiers, based on statistical analysis of categorized “training data”, enabling a machine intelligence to make informed predictions based on data acquired (Bickler, 2021). As the study of Archaeology has shown proscription of emphasis

Artificial Intelligence (AI) and machine learning are rapidly becoming integral parts of modern society. As we learn to coexist and even, in some cases, rely on these tools, we must also traverse the ethical issues associated with them. One ethical issue that arises with the continued emergence of AI and

Data broadly, and particularly ‘big data’, is increasingly leveraged to develop a wealth of digital projects and products across academia, government and the commercial sector. While often celebrated for being ‘frictionless’ and enabling efficiency through automation, these processes of computation and digitisation implicate human labour at every stage of the

A wide range of humanities data can be analysed, including text (from literature, newspapers and social media), images (from art history and traditional or social media) and material culture (from representations of artefacts, to ethnographic reports of their creation). The creation of structured data in the form of data tables, with features