Editorial: Great Piles of Stuff or Piles of Great Stuff? Entrepreneurial Curation and the School Librarian
Notice bibliographique
Résumé
Welcome to the 20th Anniversary issue of School Libraries Worldwide! For these last two decades, it has been our pleasure to bring you the finest school library research from across the globe. The theme of this issue, Curation: Building the Learning Resource Base through Selection, Management, and Promotion of School Library Collections, was prompted by the fact that K-12 instructional planning is changing-and continues to change very quickly. Whereas teachers were once left to their own devices, and hopefully to their school librarians, to identify and integrate high quality learning resources, the recent past of federal educational initiatives has transformed instructional materials selection from one based on pull (i.e., resources gained from colleagues, search engines, and specialized digital libraries) to one based on push (e.g., resources presented to teachers in the context of a standards and assessment linked student data systems or a digital library). This fundamental change in the way teachers base their instructional plans in the United States stems from two main forces: shift to the Common Core State Standards and Next Generation Science Standards and their accompanying shift high stakes testing based on students' aptitude for applying concepts. With these twin imperatives reinforced in federal education policy via the Elementary and Secondary Education Act authorization known as No Child Left Behind (NCLB) and the related Race to the Top (RttT) initiative, school administrators are left to make tough decisions about how to shift financial resources to ensure that their teachers have sufficient means to implement high quality instruction as defined by federal guidelines.Unfortunately, too often, school administrators have identified school librarians as surplus to their educational goals (Ellerson, 2012a; 2012b). Instead, they have relied upon commercial systems populated with fee-based resources to provide teachers' essential materials base (Maull, Salidvar, & Sumner, 2010a; 2010b). Some of these systems are operationalized as digital textbooks that represent assemblages of resources tailored to a specific learning goal, also known as digital textbooks.Many digital textbooks are based on OERs, which are teaching, learning, and research resources that reside in the public domain or have been released under an intellectual property license that permits their free use and re-purposing by others (Hewlett Foundation, 2007, p.1]. School librarians are being eliminated at a time when their expertise in identifying, organizing, maintaining, and promoting (i.e., curating) high quality Open Education Resources (OERs) could provide the content and support upon which teacher and student achievement could be based. Perhaps as a result, compliance with federal encouragements to embrace OERs has been piecemeal and slow (Porcello & Hsi, 2013).Certainly, identifying and aggregating OERs and other digital resources are two key aspects of 21st Century collection development. However, due to the sheer number of these items, curation is crucial to ensure that evolving definitions of quality are reflected in the collection (Rosenbaum, 2013).I posit that curation is an entrepreneurial activity. As Goldstein and Rodriguez (2012) pointed out, entrepreneurs are innovative problem solvers. The heritage of librarianship is inherently translational in that librarians take the position of layering information resources onto possible solutions for problems in just about any discipline. The librarian's approach is constantly fresh, constantly reinventing, and constantly injecting expertly selected information into potentially insurmountable quests for knowledge. In this way, LIS education fosters information entrepreneurialism through the development of the resource expertise enacted through curation.Moreover, the growing array of resource types demands expertise not only in identifying high quality or trustworthy resources, but also curation means recommending the right resource in both content and format. …
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 distillée sur la base complète
Imitation des enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,015 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,003 |
| Communication savante | 0,002 | 0,027 |
| Science ouverte | 0,002 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
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.
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; les deux têtes enseignantes s’accordent sur ce qui est montré ici.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».