Subsisting frequencies: the Intersection of media arts and architecture
Notice bibliographique
Résumé
The facilities currently available for the creation of new media art are exclusively reserved for funded professional artists. This inaccessibility is problematic for young and emerging media artists that do not have the resources to develop their work in physical space. Without the access to a proper facility, these emerging artists use projective equipment to exhibit their work onto large public surfaces hoping to be seen. The proliferation and growing popularity of projective art demonstrates a need to expose this work beyond the limitations of computer monitors, into the potential of an architectural context. This potential relationship between architecture and media arts offers an opportunity to create a building that prioritizes public access to this art form rather than a strict professional use. The concepts of analog and digital pertaining to light and space are fundamental in developing a methodology while working at the intersection of media art and architecture. The term analog defines a signal represented by a continuously variable physical quantity, such as voltage, spatial position, etc. Analog rhythms are found in waves, usually evidenced by natural phenomena with cyclical behavior. It can be argued that the sun is considered an analog source of light and rhythm. Within an architectural context, for example, an array of window mullions can modulate sunlight into analog rhythms of shadow. Whether they realize it or not, architects create these analog experiences. The work of Iannis Xenakis and Le Corbusier in La Tourette is exemplary in demonstrating the ability to create spatial experiences with analog rhythms. Their work designing the Philips Pavilion demonstrates how architects can create spaces at the intersect of both analog and digital rhythms. The term digital describes attributes of computational language represented through binary sequences of ones and zeros. Digital is precise and does not continuously fluctuate. While a flashing light controlled digitally with a microcontroller may appear to continuously change in amplitude, it is doing so by a miniscule and imperceivable stepping pattern. This boundary is known as granularity, a phenomenon that is at the core of differentiating between analog from digital. Unlike architects, new media artists work with a focus on digital experiences. As this architectural thesis is heavily rooted in computational media, the intersection of analog and digital is a vital concept in exploring boundaries of both practices. The core question then is how can rhythms between analog and digital light act as a common foundation for media.arts and architecture? Spatial experimentation with analog and digital rhythms is essential in developing an architectural project alongside media art. The window became a spatial interface between the sun and computer generated projections, conceptually provoking a dialogue between analog and digital light. This experimentation derived principles that could be applied to architectural design. Using a physical architectural model as the interface between analog and digital light is the methodology behind the design. The intention is for the architecture to embody the intersection of analog and digital. A public media art facility requires a site that suits the cultural mandate of its local community. Montreal is considered to be a leading capital in digital media, it is evident that this type of project would be valuable to this community. The Mile-end district of that city is a culturally unique location that would meet this expectation. Hosting numerous cultural events, the mile end is favorable for a project providing a space for social gathering. Situating this project in this district can take advantage of this neighborhood’s unique cultural life while challenging the traditional assumptions of what it means to create a public building.
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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,006 | 0,018 |
| Communication savante | 0,015 | 0,011 |
| Science ouverte | 0,001 | 0,008 |
| Intégrité de la recherche | 0,002 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,017 | 0,002 |
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; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».