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Record W4317708081 · doi:10.1353/rht.2021.0022

Nostalgic Design: Rhetoric, Memory, and Democratizing Technology by William C. Kirlinkus

2021· article· en· W4317708081 on OpenAlexaboutno aff
Logan Blizzard

Bibliographic record

VenueRhetorica · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicHistory of Science and Medicine
Canadian institutionsnot available
Fundersnot available
KeywordsRhetoricContext (archaeology)AestheticsSociologyRhetorical questionDemocracyConstructiveValue (mathematics)LawMedia studiesLiteraturePhilosophyHistoryArtPoliticsComputer sciencePolitical science

Abstract

fetched live from OpenAlex

Reviewed by: Nostalgic Design: Rhetoric, Memory, and Democratizing Technology by William C. Kirlinkus Logan Blizzard William C. Kirlinkus, Nostalgic Design: Rhetoric, Memory, and Democratizing Technology. Pittsburgh: University of Pittsburgh Press, 2018. 262 pp. ISBN: 9780822965527 William Kirlinkus’ Nostalgic Design poses a central question: “What are you nostalgic for, why, and to which ends?” (4, 21). Nostalgia has a bad reputation in contemporary discourse, central as it has been to recent conservative movements, like the propagandistic, restorative nostalgia of “Make America Great Again.” This conflation has allowed progressives and critics to dismiss nostalgia as purely regressive and/or nationalistic, which “simply relieves critics of the responsibility of understanding an ‘illogical’ group . . . [and] blinds [them] to their own nostalgic impulses” (29). But the truth is that we are all nostalgic for something, insofar as the futures we imagine are necessarily shaped by what we value from the past. What is needed, and what Kirlinkus offers throughout the book, is a means to negotiate multiple, conflicting nostalgias, and put their affective force to constructive, democratic, and inclusive ends. By reframing nostalgia, Kirlinkus articulates nostalgic design, “a perspective and method” for engaging with competing nostalgias and incorporating these into the design of technology. The inherent rhetoricity of design—defined broadly as “the methods by which expert makers create some technology to be operated by a specific user, in a specific context, in order to ‘change existing situations into preferred ones’”—has long been acknowledged by theorists like Richard Buchanan and Donald Norman, and often aligns with the future- orientation of the dominant technological paradigm (or “techno-logic”). Nostalgia, here defined as “pride and longing for lost or threatened personally or culturally experienced pasts” (6), would seem more closely aligned with another rhetorical process: memory. By recognizing that technology is far more historically-oriented than designers tend to admit (given that users tend to understand the new only through the old), nostalgic design posits nostalgia as powerful, largely-untapped resource for designers of all types, from graphic designers to medical professionals. As Kirlinkus argues, to overcome the tendency of tech design to neglect entire social groups, we must take seriously the memories, experiences, and concerns of a wide spectrum of users, and incorporate these into the very process of design. Much of the book is devoted to putting nostalgic design into practice, as a method. Kirlinkus frames the approach as a three-step process: identifying [End Page 464] exclusionary designs, mediating technological conflicts, and, ultimately, designing meaningful products (24). Perhaps due to the readily-apparent nature of exclusions in technology, the only real consideration of this first step comes in Chapter 2, which examines several cases of “critical nostos” (51), of amateurism functioning as resistance. Instead, the primary concern of Nostalgic Design is navigating the wildly divergent visions and values held by users and designers. In this way, the project runs into one of the defining questions for deliberative democracy: how to incorporate a plurality of opinions, needs, and values in a manner that is at once equitable and agonistic. The third chapter, one of the book’s strongest, engages with these concerns directly; setting four prominent theories of deliberative rhetoric—Aristotelian audience analysis, Burkean identification, Ratcliffe’s rhetorical listening, and Mouffe’s agonism—alongside corresponding models of deliberative design. This juxtaposition highlights the shortcomings of previous, well-meaning attempts at inclusive design, such as the patronizing efforts of “user-centered design,” or the tendency of “empathic design” to sideline designer expertise. Chapters 5 and 6 turn to the final step in the process, explicating meaningful design. Returning to the pseudo-oral history method from the second chapter, Kirlinkus focuses squarely on design praxis, bringing in accounts of real designers who have developed productive relationships with user nostalgia. This approach is of particular use in Chapter 5, which poses the interactions between designers and clients as a potential conflict between the designer’s expert knowledge (techne) and the client’s experience (metis). The correlation between rhetorical communication and design professions truly shines in this discussion, as the process of adapting, adopting, or refusing feedback requires careful attention to knowledge boundaries and productive opposition—in short, the skills of the rhetorician. The project culminates with a...

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.012
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0050.010
Scholarly communication0.0090.010
Open science0.0010.003
Research integrity0.0030.007
Insufficient payload (model declined to judge)0.0120.004

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.029
GPT teacher head0.230
Teacher spread0.201 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2021
Admission routes1
Has abstractyes

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