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1. Taper #5: Pent Up

   Each issue of Taper is edited by a collective. Editing and production is done in coordination with The Trope Tank at MIT, a laboratory directed by Bad Quarto proprietor and publisher Nick Montfort. Taper is not officially associated with MIT or hosted on an MIT server, however.

   For the fifth issue, the editorial collective consisted of Kyle Booten, Angela Chang, Leonardo Flores, Judy Heflin, and Milton Läufer. 

   A constraint was established: the core part of each poem—the HTML on the page after the header—could be no more than a tiny 2KB (2048 bytes). Members of the editorial collective recused themselves from discussion of their own submissions. The collective works independently of the publisher to make selections. We thank Sebastian Bartlett for his help in managing the template.

   The work in this fifth issue is written in HTML5, using ES6. It has been tested and found to work properly on current Firefox and Chrome/Chromium browsers across current platforms, as well as on Mac OS X Safari; everything does not work on Edge and iOS Safari.

   Scott Rettberg - 16.10.2020 - 16:10

2. Masked Making: Uncovering Women’s Craft Labor during COVID-19

   In the United States in 2020, face masks became a political symbol: first welcomed as part of assisting emergency workers, and later condemned as a threat to individual liberty, the face mask is an inescapable site of conflict. However, it is also a thing of labor, entwined with the domestic sphere of sewing. 

   Irene Fabbri - 08.02.2021 - 19:17

3. Generated Texts: Reading Strategy and Interpretational Options

   The paper is devoted to the reading and critical reflection of the generated electronic literary texts. From the structural point of view all textones of generated texts can be divided into standard schemes or patterns (word combinations or the whole sentences that are switched according to the software algorithms). Authors use these schemes to make generated texts close to the natural human language. If we look closer, for example, at generative elit works, most of their verbal patterns look like meaningful expressions. But what makes them meaningful and what kind of meaning can readers get from these patterns? Is it possible to catch the esthetic idea of the whole generated work analyzing these verbal patterns? One of the strategies to reveal the author’s aesthetic concept of the generated work is to identify the key words grid of the separate textone as well as of the whole work. The key words grid allows to catch the thematic dominant and then move to the interpretive strategies of the whole literary work.

   (Source: the work itself)

   Lene Tøftestuen - 24.05.2021 - 17:01