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What It Means to Be an iSchool

2012· article· en· W261114461 sur OpenAlexaboutno aff
Andrew Dillon

Notice bibliographique

RevueJournal of Education for Library and Information Science · 2012
Typearticle
Langueen
DomaineComputer Science
ThématiqueWeb and Library Services
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésAgency (philosophy)Library scienceCurriculumSociologyInformation sciencePolitical sciencePublic relationsSocial sciencePedagogyComputer science
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Though considered by some to represent a major break with LIS education, Schools of Information ('iSchools') might better be seen as representative of efforts to extend concerns with information and human users beyond the agency model of traditional LIS approaches. In this paper, the key attributes of iSchools are identified in terms of intellectual coverage, interdisciplinarity, and research commitment. Rather than formally distinct from LIS programs, iSchools are considered exemplars of a type of program into which more LIS programs might evolve. Keywords: iSchools, research orientation, LIS education, curriculum coverage Introduction In its broadest sense, [information science] stands for the systematic study of information and may include all or any combination of the academic disciplines discussed in this volume. (Machlup and Mansfield, 1983, p. 18) Schools of Information have proliferated since Machlup and Mansfield's seminal book, particularly over the last decade. Such has been the growth of iSchools in the early decades of this century that it is perhaps difficult now to appreciate fully the consternation arising from the announcement of school name changes in the late 1990s and early 2000s, first by the University of Michigan, and then by the University of Washington and the University of Texas, Austin. Since then, many other schools have modified, abbreviated, or completely changed the names of their programs to reflect a growing recognition of the intersection of people, information, and technology as the core of our concerns. Currently, among the ALA-accredited LIS programs, over 30% use the general School of Information or Information Studies names, with the majority of these having dropped the word 'Library' at some point in the last two decades. Even though the iSchool community's origins can be traced to a small group of U.S. schools that offered ALA-accredited degrees in the late 1980s (the so-called 'gang of three' consisting of Rutgers, Syracuse, and Pittsburgh; later the 'gang of four' with the addition of Drexel), the emergence of a national information school community involved both renaming and the creation of new programs. By the time the iSchool group had grown to 10 schools in 2003, it had admitted two 'green field' programs - new academic units created especially for the study of information - at Indiana University (where a School of Informatics was created despite the existence there of a longstanding program in LIS), and at Penn State University, which created its own College of Information Science and Technology in 1999. There has been growth in information related programs beyond North America also.The iCaucus, an international group of schools who gather under the 'information school' umbrella, now numbers 33 members, and includes a diverse range of programs, mainly from the U.S. but including schools in Australia, the UK, Canada, China, Denmark, Finland, Germany, Ireland, and Singapore. In sum, the idea of an 'iSchool' has evolved to the point where a significant number of universities, including those hosting 14 of the top 1 5 LIS programs from the most recent US News and World Reports Rankings, support an 'iSchool', and new schools are being created, formed from mergers, or renamed continually. The history of the iSchool movement is covered in detail in Larsen (2009), while Olson and Grudin (2009) offer an overview of the phenomenal rise of information schools in leading research universities in the US, with emphasis on the role of the annual iConference (first held in 2005 at Penn State) in cementing identity and common purpose. The latter authors asked if the emergence of iSchools was permanent or a passing fad, concluding that most likely, the serious and scholarly study of information was only in its infancy. In the present article I will take a different tack, seeking to outline what makes a school an 'iSchool' in order to shed light on the realities and aspirations of what some of us regard as a unique form of academic unit. …

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)0,007
score de la tête « metaresearch » (Gemma)0,015
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,038
Score d'incertitude au seuil0,126

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0070,015
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0020,002
Études des sciences et des technologies0,0100,007
Communication savante0,0140,011
Science ouverte0,0010,007
Intégrité de la recherche0,0040,004
Charge utile insuffisante (le modèle a refusé de juger)0,0380,014

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 Opus0,020
Tête enseignante GPT0,280
Écart entre enseignants0,260 · 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'étudeSans objet
Domainenon disponible
GenreCommentaire

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

En bref

Citations51
Publié2012
Routes d'admission1
Résumé présentoui

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