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Enregistrement W2009189347 · doi:10.1002/bult.2006.1720320605

The IA of potentiality: Toward a grounded theory of information architecture philosophy, theory and research

2006· article· en· W2009189347 sur OpenAlex

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Notice bibliographique

RevueBulletin of the American Society for Information Science and Technology · 2006
Typearticle
Langueen
DomaineDecision Sciences
ThématiqueData Quality and Management
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésConversationGrounded theorySociologyEpistemologyParticipant observationArchitectureQualitative researchPhilosophySocial scienceCommunication

Résumé

récupéré en direct d'OpenAlex

After a long battle with cancer Brian passed away this spring. We know he would be pleased that the theoretical and practical relevance of his work continue to drive the ongoing conversation he initiated. Although information architecture is, as Adam Greenfield has pointed out in Boxes and Arrows, whatever information architects say it is, we will not be seen as taking IA seriously until we can demonstrate we are willing to be responsible for what we say. I agree with Andrew Dillon's assessment in one of his 2001 IA columns in the Bulletin that “the biggest obstacle to IA becoming a distinct discipline remains its lack of unique methods and theories.” Therefore, I propose we begin a formal conversation focused on methods and theories. Doing so does not deny or disparage the interesting informal everyday conversations that have been taking place on our listservs, at community meetings or during professional practice. They are vital sources of ideas. I feel so strongly about their importance that I chose to adapt grounded theory as my dissertation research method. My adaptation of grounded theory has allowed me to integrate these informal conversations with more formal precursor and contemporary discourses that surround IA. The formal conversation that I propose has, in this sense, already begun. As a participant observer in the development of the emerging discipline of IA, I was motivated to instigate a formal conversation because of some practical problems I have encountered as a teacher, a researcher and the manager of a professional practice in IA. As I have traversed each of these roles, I have found it difficult to consistently describe and explain IA. Although my interests have always landed me in positions where I was required to wear multiple hats simultaneously (sculptor, designer, manager, leader, businessman, etc.), I found myself at loose ends more often with IA. I lacked a philosophical and theoretical base to ground my understanding regardless of the hat I happened to be wearing at a particular moment. The problem became so acute for me that in the spring of 2004 I decided to stop teaching and practicing IA temporarily so that I could turn my full attention to addressing this problem through my research. I set myself the task of developing a framework that would provide me with the philosophy and theory that I lacked to ground my work. … the “What is IA” discussion. No matter what the stated agenda, it seems, some well-intentioned newcomer — and occasionally a knowing provocateur — invariably raises the question of the field's provenance. Is it traditional library science retrofitted and renamed for a digital age? Is it a subset of interaction design? Isn't it just something that all good web designers do anyway, unconsciously? What's the difference between it and usability? How does it relate to “architecture architecture”? And what's an “XMOD,” anyway? I confess to being one of Adam's knowing provocateurs of the past. Now, however, I think the time is right to turn the conversation from one held with static texts (which can't talk back) to one with dynamic human beings (who certainly will). To begin this conversation, I offer the approach that I have developed over the past several years working on my dissertation. This is only one of many possible approaches one could use to compose a philosophical and theoretical basis for purposes of IA, but I believe it will provide a rich and inclusive opening. I will try to be clear about why I have chosen this particular approach as I describe the constellation of concepts that ground it. The most immediately obvious way to approach philosophizing about IA is to first compose a philosophical argument about the nature of information, then extend the rationale of that argument to account for/describe the set of characteristics of information that, for purposes of IA, can be said to constitute its architecture. If IA is a discreet domain, it will choose to describe these characteristics and their relationships somewhat differently than other disciplines have. 1st postulate: Information is not only a thing. 2nd postulate: Information is meaning “coming into form.” 3rd postulate: Information is an event. To understand information architecture, it is necessary to have a clear, agreed upon conception of information. For the purposes of IA, I propose that information be understood as that which brings together content, communication and context. On its face, this doesn't seem like a radical departure from current thinking, for example in Rosenfeld and Morville's triad of content, user and context. However, as my own thinking about this unified concept of information developed, I found that I had to wrestle with and ultimately diverge from much of the thinking of both academics and practitioners in three important ways. First, the dominant concept of information-as-thing had to be cut down to size and placed within the category labeled content. Second, a restoration of meaning had to take place. From antiquity through the Renaissance, information carried the meaning of something coming into form. Information was about an ongoing process of formation. This meaning was sacrificed during the Enlightenment as the conception of information as a marketable commodity gained popularity, but the two are not entirely incompatible. But information-as-thing is only one aspect of information: its content. The third shift that I had to make revolved around the notion of information as an event, and in this shift a whole philosophical basis for IA began to reveal itself. Information is an event during which meaning comes into form by bringing together content, communication and context. At the heart of an IA philosophy is the nature of information. A major characteristic of information is its potentiality, its meaning coming into form. Brian Arbogast de Hubert-Miller, the author of this column, lost his painful battle with stomach cancer on April 16, 2006, prior to fulfilling his final goal of completing a dissertation that would introduce a grounded theory of information architecture. This column is largely taken from the most recent draft of the introduction to that dissertation. Thirteen years ago, Brian decided to reinvent himself as an information architect. He left a successful career as a commercial sculptor to return to school, completing a bachelor's degree in interdisciplinary humanities at Rollins College and a master's degree in information studies at the Florida State University, prior to engaging in doctoral work in information architecture also at FSU. I had the privilege to know and work with Brian initially as his teacher and associate dean of the school where he was studying and later as his major professor. Many of you knew Brian and were contacted by him prior to or during the IA Summit in Vancouver with an invitation to join the conversation he hoped would be promulgated by his dissertation. I can think of nothing that would have made Brian more certain of the value of his work than to have this conversation continue beyond his lifetime. To stimulate the conversation, I will be editing and publishing some of the extant pieces of Brian's dissertation as articles in professional and scholarly journals. I hope that you will join the conversation as well engaging, wrestling with, refuting and expanding upon Brian's ideas. — Kathleen Burnett, associate professor, College of Information, Florida State University

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.

Prédiction distillée sur la base complète

Imitation des enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,024
score de la tête « metaresearch » (Gemma)0,005
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesÉtudes des sciences et des technologies
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Théorique ou conceptuel · Signal consensuel: Théorique ou conceptuel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,302
Score d'incertitude au seuil0,991

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0240,005
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,002
Études des sciences et des technologies0,0010,012
Communication savante0,0000,000
Science ouverte0,0010,001
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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 Opus0,051
Tête enseignante GPT0,366
Écart entre enseignants0,315 · 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