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Thinking toward Architecture

2002· article· en· W222315091 sur OpenAlexaboutno aff
Michael Benedikt

Notice bibliographique

RevueMosaic (Winnipeg) · 2002
Typearticle
Langueen
DomaineEngineering
ThématiqueArchitecture, Modernity, and Design
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésArchitectureSociologyEpistemologyEngineering ethicsEngineeringHistoryPhilosophyArchaeology
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

The following is a condensed and abbreviated version of a lecture that Michael Benedikt delivered to the Faculty of Architecture at the University of Manitoba on 21 October 2001. How, at the beginning of a new century, might architecture progress from the fashion- and economics-driven art form that it is to something else, something better? What resources ought we to be using? Should architects learn from other disciplines--even join with other fields, such as psychology or geography? Or should architects remain within architecture, reaching out to other disciplines only now and again? What I've found over the years is that you cannot simply search out results from research in other disciplines and then apply them to the problems and aims of architectural design. Economists can't design, nor can sociologists, ecologists, or most engineers, since they do not have the same mindsets, skills, questions, or agendas that architects do. And the data they produce is not easily incorporated. If, on the other hand, you completely enter one of the other disciplines yourself--which takes a good few years--or if you come from one of the other disciplines to architecture, the very learning of the second discipline tends to eclipse the first. There's so much to know. In the late modern age it's rare to find the functional amalgamation of two or more distinct disciplines in a single person. The approach I think we should be using is this: an architect should start in architecture and end in architecture, and remain at heart an architect, but make one or more extended journeys into other disciplines, journeys that might last a period of years. These journeys into art, or ecology, or engineering, say, are less like tours from which one brings back interesting souvenirs, and more like living with the natives for a while, speaking their language, getting excited about what they get excited about, and coming home before it's too late. This modus operandi, it seems to me, is the best way of keeping our questioning distinctly architectural while at the same time learning other ways of seeing and acting in the world. Not everyone can or should embark on this course; it ought to be reserved for only those who think there could be more to architecture than what meets the eye (and more to it, too, than constructional ingenuity), only those who have the time and institutional support this course requires. L et me relay to you some of the enthusiasms I have picked up from just such extended intellectual visits. Each, I think, could contribute to the task of thinking about architecture in new ways and thus taking it forward. Only time will tell if I am right. I will touch on four topics. The man who inspired me on the first topic--complexity theory and evolution--is Louis Kahn. He loved science more than fairy tales; and, although he did beautiful buildings, he thought architecture's deepest impulses were ethical, not aesthetic. At the chalkboard, with both hands at the same time, he drew beautiful sequences, starting with something simple and filling it in with life, lapping the borders. When Louis Kahn drew that kind of pattern, he was expressing something very deep about how life evolves and elaborates itself, not only in nature but through man. Indeed, if you look at any of Kahn's many metaphysical diagrams, you see him trying to say where architecture comes from. It comes, he said, from turning silence into life, darkness into light, potential into joy. What a life-affirming way to think of architecture, and indeed about any creative endeavour involving conscious design! Life affirmation is an ethical principle, as is the idea that life is intrinsically complex and becoming more so as it fills itself in. This is an idea that I have tried to work out in my own way by voyaging into complexity theory. The claim this theory makes is that the right combination of higher complexity and a higher organization is what life wants, and that right combination is characterizable by a variable dependent on complexity and organization, called omega. …

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)0,003
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Théorique ou conceptuel · Signal consensuel: Théorique ou conceptuel
GenreSignal candidat: Autre · Signal consensuel: Autre
Score de désaccord entre enseignants0,026
Score d'incertitude au seuil0,088

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0030,003
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0000,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0060,017
Communication savante0,0110,009
Science ouverte0,0010,004
Intégrité de la recherche0,0030,007
Charge utile insuffisante (le modèle a refusé de juger)0,0260,010

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 Opus0,023
Tête enseignante GPT0,213
Écart entre enseignants0,190 · 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'étudeThéorique ou conceptuel
Domainenon disponible
GenreAutre

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

En bref

Citations2
Publié2002
Routes d'admission1
Résumé présentoui

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