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Enregistrement W2100615758 · doi:10.1002/meet.14504901025

The interdisciplinary study of information

2012· article· en· W2100615758 sur OpenAlexaffabout
Jenna Hartel, Steve Fuller, Rick Szostak, Laurie J. Bonnici

Notice bibliographique

RevueProceedings of the American Society for Information Science and Technology · 2012
Typearticle
Langueen
DomaineComputer Science
ThématiqueWeb visibility and informetrics
Établissements canadiensUniversity of AlbertaUniversity of Toronto
Organismes subventionnairesnon disponible
Mots-clésInformation scienceRelation (database)SociologySanderField (mathematics)CyberneticsLibrary scienceEpistemologyComputer scienceEngineeringPhilosophy

Résumé

récupéré en direct d'OpenAlex

To mark the 75th anniversary of ASIS&T this panel addresses the nature and recent history of the field of information science. It uses as a springboard The Study of Information: Interdisciplinary Messages, a collection of writings edited by economist Fritz Machlup and Una Mansfield (1983). More than a quarter of a century ago, The Study of Information (for short) presented the mandates of nine research specialties centered on information, namely: cognitive science, informatics, artificial intelligence, linguistics, library and information science, cybernetics, information theory, and systems theory. By illuminating the concerns, similarities, and differences of these related domains the book established one of the first and most lucid geographies of information as an interdisciplinary academic enterprise. In its day, reviewers described The Study of Information as “a quite remarkable overview” (Hayes, 1985), “an extraordinary volume” (Barnes, 1985), and “an historically significant book” (Harmon, 1987). Against this backdrop our panel reflects upon the intervening years and asks: How has the “interdisciplinary” study of information changed? To begin, Jenna Hartel will introduce The Study of Information: Interdisciplinary Messages (Machlup & Mansfield, 1983) and in a succinct manner outline its structure, content, and interdisciplinary thesis. Next, as the keynote of the session, Steve Fuller, an internationally renowned public intellectual and sociologist of science, will consider the text in terms of what it means to study information today, especially given the increased centrality of information to both personal and public life and the rise of the iSchool movement. Specifically, he will examine these trends in relation to two foundational works from his field that mark their anniversary this year: Thomas Kuhn's The Structure of Scientific Revolutions (50th) and Bruno Latour's Science in Action (25th). Laurie Bonnici, lead author of a forthcoming book on the panel's topic, will report findings from a study of the disciplinary structures of library and information science and the iSchool movement utilizing Abbott's (2001) Chaos of Disciplines. Discussion will center upon the internal and external factors that contributed to the disciplinary evolution of the iSchools. Then, Rick Szostak, Professor of Economics and Interdisciplinary Studies at the University of Alberta, and the author of several articles in information science, will explore how information science can best serve the needs of interdisciplinary scholarship. Drawing on the presentations of other panelists, he will explore recent developments in both information science and the scholarship of interdisciplinarity. Each presentation will be timed to keep the agenda on schedule. Upon completion of the formal talks there will be a conversation with the audience, hosted by Steve Fuller. We feel the nature and recent history of information science is a fundamental concern of all ASIS&T members. The topic at hand determines the constitution of faculties, design of curriculums, substance of conferences, public opinion about information science, and other matters of signal importance. We believe conversation and debate on this matter have yet to engage fully with the larger currents of recent intellectual history, the philosophy and sociology of science, or interdisciplinary scholarship, as offered in this panel. An Introduction to “The Study of Information” (Machlup & Mansfield, 1983) by Jenna Hartel [10 minutes] Reprising “The Study of Information” by Steve Fuller, [25 minutes] Factors of Disciplinary Identity by Laurie Bonnici [20 minutes] The Study of Interdisciplinary Information by Rick Szostak [20 minutes] Audience Discussion hosted by Steve Fuller [15 minutes] In 2007 Jenna Hartel received a doctorate in the philosophy of information studies from the University of California, Los Angeles and is now an Assistant Professor at the Faculty of Information, University of Toronto. She is a specialist in information behavior in everyday life and leisure realms (Hartel, 2010a), and also conducts research into the theory, history, and methods of information science. Dr. Hartel is the creator of Metatheoretical Snowmen (Hartel, 2009, 2010b), a competitive examination of metatheory in information science. She will provide a succinct introduction to Machlup and Mansfield's text that serves as a point of departure for the panel. Steve Fuller is an American philosopher-sociologist and the Auguste Comte Professor of Social Epistemology at the University of Warwick (UK). He is credited with founding the field of social epistemology (Fuller, 1988), a normative discipline that addresses philosophical problems of knowledge using the tools of history and the social sciences. He has been a leader in interdisciplinary fields, especially science and technology studies, rhetoric of science and psychology of science. In addition to 18 books, Dr. Fuller has written more than 200 book chapters and academic articles. He has given many distinguished lectures and plenary addresses and has presented to academic and non-academic audiences throughout the world. His writings have been translated into 15 languages and 23 academic symposia have been published on his work. Dr. Fuller will offer the keynote of the panel: Reprising The Study of Information and also facilitate the discussion that follows. Dr. Bonnici is Assistant Professor at the University of Alabama, School of Library and Information Studies. Her research is focused in two areas: information technologies for universal access as well as disciplinarity and education for library and information science. She is currently lead author on writing a book with Dr. Kathleen Burnett (FSU) and Dr. Mega Subramanium (U. Maryland). The book is titled The Study of Information Revisited: Chaos in the Emergence of Disciplinary Identity which evolved from a research study on issues of accreditation for LIS education. Dr. Bonnici will contribute the presentation Factors of Disciplinary Identity. Rick Szostak is Professor of Economics and Interdisciplinary Studies at the University of Alberta. He is the President of the Association for Integrative Studies. His research largely focuses on how best to facilitate interdisciplinary scholarship. He is the author of ten books and some fifty articles and book chapters, all interdisciplinary in orientation. He believes that information science can better serve the needs of interdisciplinary scholarship. He is the author of Classifying Science (2004), and articles in the Journal of Documentation, JASIS&T, and Knowledge Organization. He is at present working on a co-authored book, Interdisciplinary Knowledge Organization. Trained as an economic historian, Rick believes that we need to understand our past in order to plot our future. His talk on the panel is entitled The Study of Interdisciplinary Information.

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)0,004
score de la tête « metaresearch » (Gemma)0,008
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesCommunication savante
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: aucune
Score de désaccord entre enseignants0,984
Score d'incertitude au seuil0,033

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0040,008
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0030,005
Études des sciences et des technologies0,0040,015
Communication savante0,0160,017
Science ouverte0,0010,005
Intégrité de la recherche0,0040,006
Charge utile insuffisante (le modèle a refusé de juger)0,0090,003

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.

Tête enseignante Opus0,012
Tête enseignante GPT0,280
Écart entre enseignants0,268 · 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.

Devis d'étudeThéorique ou conceptuel
Domainenon disponible
GenreEmpirique

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
Publié2012
Routes d'admission2
Résumé présentoui

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