Convergence, Ahead of Print.
Based on the notion of critical technical practice and its resonances with recent debates in digital film and media scholarship, in this article I outline a type of computational practice that aims to couple the relational-analytic powers of machine learning with the explanatory-creative powers of visual narrative. I provisionally call this approach creanalytics. To enact this coupling, I designed a system to annotate and classify a large corpus of film clips, automatically extract fragments from this corpus, and edit them into new compositions, rendered into a computational supercut, which I go on to argue can be understood as the minimal expression of a broader emergent form of media: the computational video essay. Below I describe the most salient technical aspects of this system, analyse the principles of its design, and discuss the methodological and conceptual possibilities of its use as a format that mediates between critics and their networked environments, and between individual media artefacts, their parts, and the larger collections to which they belong.