From a4f97d0a28c04689b570623cd5ec56a9f334f566 Mon Sep 17 00:00:00 2001 From: ccl Date: Mon, 19 Dec 2022 11:55:05 +0100 Subject: [PATCH] Update 'content/2022/more-than-computational-EN.md' --- content/2022/more-than-computational-EN.md | 3 +++ 1 file changed, 3 insertions(+) diff --git a/content/2022/more-than-computational-EN.md b/content/2022/more-than-computational-EN.md index 8ad6e99e..7ab03bd1 100644 --- a/content/2022/more-than-computational-EN.md +++ b/content/2022/more-than-computational-EN.md @@ -21,6 +21,7 @@ Each of the scripts ended up structuring possible circulation, writing and readi ## Scripts ### `__MAGICWORDS__` +
`__MAGICWORDS__` is an open ended system for collective annotation of a text, using small instructions that can be activated during a collective reading experience. In the field of software, and specifically in the MediaWiki software, magic words appear as words with special programmatic functions, connecting a specific cue to a programmatic action, such as adding the current time on a page. Within the context of Varia's research, the `__MAGICWORDS__` are used to manually perform programmatic gestures with the text without the involvement of code. @@ -35,6 +36,7 @@ Magic words emerged from a curiosity to see what kind of social incantations can `__MAGICWORDS__` have started being used in this way by amy pickles and Cristina Cochior during a Read & Repair session on Digital Solidarity Networks (2020), and have been re-used in multiple other sessions since. ### `x-dexing` +
`x-dexing` is a cross-reading practice that through chance operations guides the reader in going over a body of texts. Contrary to an index, the `x-dex` invites to perform a non-linear distribution of attention across textures, semantics and aesthetics of the texts at hand. @@ -52,6 +54,7 @@ If “indexing” would be about gaining access through the illusion of complete ### `word2complex` +
`word2complex` is taking the algorithm word2vec as starting point for a discussion around how users can read alongside algorithms and how algorithms construct machinic readings of text. As a reading exercise, `word2complex` investigates how algorithms order our experience and understanding of relationality between different words, by calculating semantic distances and context similarities. By staying close to the logics of word2vec, `word2complex` aims to rethink contextual ways of calculating and proposes to form semantic distances between contexts in more-than-computational ways.