Notice bibliographique
Résumé
For modern visual analysis, images are no longer pure images, they have become agents. Their actions and mechanisms no longer represent something, as traditionally studied in the field of semiotics, history, or art history, but actually do something: they produce various types of relationships and thus meanings in and outside the merely visual space. More concretely, they morph into “boundary images,” a concept that pays tribute to the work on WJT Mitchell and his interest in what pictures “want.” The boundary image can also refer to the broader definition of Susan Leigh Star and James R. Griesemer, for whom it is “an entity that links networks, elastic enough to be adapted to a new context and robust enough to keep its main characteristics” (p. 2). Boundary images are a subcategory of such boundary objects and are themselves capable of accepting new subcategories like “ontological boundary images,” which transgress the usual frontiers between the ontological domains of reality and fiction.As the four authors of this book state in their joint theoretical introduction and reflection on the meaning of “boundary,” such an object is “the exact opposite of ‘an end’ or marker of strict impermeability. Rather, a boundary object is a thing, entity, or any other type of object that can be shared or used differently by varying groups, with each holding its own interpretation, understanding or normative practices with that object” (p. 7). The concept of boundary is thus closer to the idea of contact than frontier, although the examples in this book will show that there are also strong limitations to this definition, at least in practice.Boundary images are a cutting-edge dimension of contemporary visual culture analysis. Not only do they help deconstruct conventional dichotomies (literal versus symbolic, rational versus affective, past versus future, single versus plural, subjective versus objective—the list is almost endless) but also foster a reading of images that tackles the dynamic and productive aspects of their social reading. In that sense, the analysis of boundary is political, or unavoidably becomes so. Boundary images aim to challenge the status quo while showing that their effect and impact are far from being as progressive and empowering as they may or should be.The three essays that follow, written by closely collaborating researchers with very different backgrounds (visual arts, curation, urban studies, anthropology) but a common interest in digital culture, live up to the high expectations raised by the general introduction of the book. They all do it convincingly while at the same time—perhaps unwillingly—highlighting a fundamental problem that I will return to in a concluding remark.The first essay by Winnie Soon and Magdalena Tyżlik-Carver is both a case study and a far-reaching exploration of how images are either made visible or withdrawn from the visible public domain (in this case, the internet). Taking as its starting point a cartographic metaphor (meaning that the image is not seen as the direct visual reproduction of a visual object but as the machine translation of a set of encoded data), the essay documents the ways in which an image of the “Lego Tank Man” (a Lego reconstruction of the famous solitary 1989 Tiananmen Square demonstrator, a world-famous icon of political resistance that remains heavily censored in China) appears on screen. For almost an entire year, artist Winnie Soon submitted the same Google search query every day, took a screenshot of the image’s presence on (or absence from) the display, and whitened out all other results of the query that appeared on the same screen. The shifting results of this operation show the underlying presence of mechanisms that disclose direct and indirect censorship. In the case of Chinese censorship, the mechanism is blatant (thanks to the Lego’s materiality, the image could nonetheless penetrate the digital sphere in China for a couple of hours before being blocked). In the case of the logarithms outside China that influence and determine how encoded data are translated into images on a screen, the mechanism is less visible but no less effective.Thus, the essay draws attention to the manifold biases and manipulations that intervene in the visibility of images at the level of data encoding. The key problem is the fact that all the verbal and visual criteria used to describe the images before they become visible on screen involve a kind of statistical average that is far from being a natural given, although the AI mechanisms and procedures in this domain are among the best kept secrets of the industry (the notion of “face recognition” for instance is based on models that rely on Western ideas of “normal” faces). The curation of “Lego Tank Man” expands on this message, emphasizing the role of machine and technology interfaces in the process of making something visible or invisible. Both the artwork and its curated version are very efficient in showing the concrete results of these mechanisms. They destroy the illusion that what we see, even if it is what we get, is not what there is to be seen in the real world.The second and third essays equally expand on the basic insights of the joint introductory essay with its strong focus on ideology critique of technology, but they move from the artistic environment to direct the discussion towards political analysis and action. Melody Devries offers an anthropological study on the use of ontological boundary images in U.S. and Canadian far-right propaganda, often giving them a strong evangelical twist, and its attempt to produce belief in nonrational ideas and behaviors. The essay also makes more general claims on belief systems, which are not defined as one-time decisions to accept this or that set of values but as the result of a repeated—if not permanent—exposure to certain objects, images, messages, and behaviors (in this sense, screen addiction is directly shown as leading to kinds of conspiracy theories, apocalyptic thinking, and more generally “crazy” belief systems). The power of this exposure is taken very seriously by the researcher, who observes and acknowledges the limits of her own rational thinking in certain circumstances. The final essay by Giselle Beiguelman, artist and professor of architecture, urbanism, and design in São Paolo, establishes a thought-provoking analysis of the standardizing aspects of AI and related technologies, which are all reframed in light of the history of eugenics. Very briefly and schematically, the end of the essay also makes room for non-Western approaches to visual analysis, image collection, and image presentation and use.This last point hints at the major question that this book does not address. On the one hand, boundary image theory and analysis are introduced in the opening essay as a world of new opportunities (agency, empowerment, political action, inclusion, democracy, etc.). However, this stimulating horizon is systematically contradicted by each of the three case studies, which all heavily insist on the dangers and evils of technology and AI (the notion of boundary thus moves back from contact to frontier). Granted, art and critical theory are shown here to possess some degree of counterhegemonic power, but this power seems fragile—and perhaps even somewhat elitist—in comparison with the bulldozer effects of modern technological mainstream culture, both Western and non-Western (China, Russia, Iran, and the like know perfectly well how to use AI for their own needs). At the end of this exciting publication, the gap between the optimism of the introduction and the pessimism of the case studies leaves a strange taste in the mind.
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 distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,003 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; les deux têtes enseignantes s’accordent sur ce qui est montré ici.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».