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Margin for Error: rules-based systems of painting and the anticipation of irregular outcomes
[article]
2022
My practice-led research explores modes of painting where restrictions on materials and methods generate unpredictable outcomes. I focus on non-objective, processed-based painting, employing rigorous and repetitive methodologies which, I will argue, are essentially a form of machine-mimicry. When the machine encounters a disrupting element, the task continues unabated, forming a glitch. This idea developed from an interrogation of my own art practice, in which a highly disciplined approach
doi:10.25911/nqrn-9d02
fatcat:jkb7rsbd5rh7donkl3ovrmnlq4