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Enregistrement W4317708081 · doi:10.1353/rht.2021.0022

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

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

Notice bibliographique

RevueRhetorica · 2021
Typearticle
Langueen
DomaineArts and Humanities
ThématiqueHistory of Science and Medicine
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésRhetoricContext (archaeology)AestheticsSociologyRhetorical questionDemocracyConstructiveValue (mathematics)LawMedia studiesLiteraturePhilosophyHistoryArtPoliticsComputer sciencePolitical science

Résumé

récupéré en direct d'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...

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,003
score de la tête « metaresearch » (Gemma)0,007
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Synthèse · Signal consensuel: Synthèse
Score de désaccord entre enseignants0,012
Score d'incertitude au seuil0,041

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0030,007
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0020,002
Études des sciences et des technologies0,0050,010
Communication savante0,0090,010
Science ouverte0,0010,003
Intégrité de la recherche0,0030,007
Charge utile insuffisante (le modèle a refusé de juger)0,0120,004

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,029
Tête enseignante GPT0,230
Écart entre enseignants0,201 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreSynthèse

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2021
Routes d'admission1
Résumé présentoui

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