Login | Register




Haiun, Adam (2022) Spool. Masters thesis, Concordia University.

[thumbnail of HAIUN_MA_F2022.pdf]
Text (application/pdf)
HAIUN_MA_F2022.pdf - Accepted Version
Restricted to Repository staff only until 1 September 2026.
Available under License Spectrum Terms of Access.


Can we ever fully dislocate ideas of human-machine relations from either the anthropomorphized robot or the depersonalized computer console? Spool takes the form of a direct address, charting the devolution and ultimate breakdown of a relationship, delivered in initially regular packets of prose text which become increasingly afflicted by formal “malfunctions.” Its speaker is a living archive, leveraging a capacious bank of natural and unnatural images, scrambled into uncanniness by a machinic logic. Suffering the pangs of heartbreak, simulated or not, the speaker desperately weaves flailing links of non-meaning, seeking to shock, to seduce, to remonstrate, to implicate, to repay with pure strangeness the abuses of the reader. Though the speaker’s logic is absurd from the first poem, as though the cultivation of strangeness was encoded, accidentally or purposefully, as their primary function, there is a conscious movement from attempts at bridging a positive, if awkward, relationship between artificiality and the natural world, toward an emphasizing of their disparity, their incompatibility. At the same time, the speaker’s particular bank of images informs their machine nature; their references to anatomy, architecture, culture, all betray an unfamiliarity with embodied existence, and with a life which reaches beyond the confines of the digital. My principal task in working on this project was to invoke and curate a machinic voice, not by tinkering with software, but by calling attention to the paradoxically computer-like patterning of the unfiltered human thought process, exploring the boundaries of sanity and the mess of the interpersonal.

Divisions:Concordia University > Faculty of Arts and Science > English
Item Type:Thesis (Masters)
Authors:Haiun, Adam
Institution:Concordia University
Degree Name:M.A.
Date:1 September 2022
Thesis Supervisor(s):Bolster, Stephanie
ID Code:990863
Deposited By: ADAM HAIUN
Deposited On:27 Oct 2022 14:35
Last Modified:06 Feb 2024 13:38
All items in Spectrum are protected by copyright, with all rights reserved. The use of items is governed by Spectrum's terms of access.

Repository Staff Only: item control page

Downloads per month over past year

Research related to the current document (at the CORE website)
- Research related to the current document (at the CORE website)
Back to top Back to top