However, at the same time, another critique questioned the basic validity of that framework. This critique shared the SSK critique’s interest in describing actual scientific work, but, like Mertonian sociology, it focused on scientists’ and others’ sense of the essence of scientific culture without directly addressing knowledge-production processes. This critique held that, because “functionalist” ideal-type systems of scientific behavior could not actually be found in their pure form, such systems did not meaningfully exist. Legitimate sociology had to be obtained inductively from the empirical record, as studied by historians and ethnologists.
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How the refrigerator got its hum | through the looking glass - 0 views
News Desk: What Facebook Really Wants : The New Yorker - 0 views
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One way to change something big is to get people really riled up about how you've changed something small. Repaint the boat, and let them to argue about that. By the time they've realized that green is no worse than blue, they won't have the energy to wonder whether it was a smart idea for you to set sail for Australia.
Norms, "Ideology", and the Move against "Functionalist" Sociology « Ether Wav... - 1 views
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Very interesting summary of debates on SSK and Mertonian science studies during the mid-20c. Describes the move away from functional, ideal-type, descriptions a la Merton to more historically specific microhistories a la Daston.
Initiative Targets Big Data Workloads {Open Hybrid} - Compliance4all - 0 views
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Hortonworks, IBM and Red Hat today announced they're banding together to build a consistent hybrid computing architecture for big data workloads. Dubbed the Open Hybrid Architecture Initiative, the program pledges simplicity of deployment and freedom of movement for data apps. The rapid ascent of cloud computing platforms like AWS, Azure, and Google Cloud has given enterprises abundant new options for storing data and deploying processing-intensive applications, such as deep learning and real-time stream processing. Throw in the progress being made at the edge, with sensors and speedy ARM chips collecting and processing massive amounts of data, and you have the makings of a computing revolution. While the computing possibilities in the cloud and on the edge may appear bountiful, the reality is that the underlying architectures for building apps that can span these three modes are just starting to come together. Enterprises today face a dearth of repeatable patterns to guide their developers, administrators, and architects, who are tasked with building, deploying and maintaining hybrid that span not just the cloud and the edge, but traditional on-prem data centers too. Hybrid computing architecture for big data workloads https://goo.gl/GQVXjs
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Hybrid computing architecture for big data workloads https://goo.gl/GQVXjs
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