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Library Collection Development for Professional Programs: Trends and Best Practices

2013· article· en· W1269521234 sur OpenAlex

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Notice bibliographique

RevueLibrary Resources and Technical Services · 2013
Typearticle
Langueen
DomaineComputer Science
ThématiqueLibrary Collection Development and Digital Resources
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésCollection developmentLibrary scienceSubject (documents)CatalogingComputer scienceCertificationBest practiceProfessional developmentSelection (genetic algorithm)MetadataGovernment (linguistics)SociologyWorld Wide WebPublic relationsPolitical scienceLaw
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Library Collection Development for Professional Programs: Trends and Best Practices. Edited by Sara Holder. McGill University: IGI Global, 2013. 478 p. $175 hardcover (ISBN: 978-1-4666-1897-8). Librarians are inherently disadvantaged in collecting for professional as they often approach this responsibility as an outsider. Standard selection tools (Resources for College Libraries, Books in Print, Choice, Ulrich's) largely ignore materials that support these programs, such as technical reports, digital image databases, government documents, sacred literature, conference proceedings, theses and dissertations, and textbooks. Furthermore, library materials for professional include both core titles in the discipline as well as very current materials for certification or testing requirements. Recent collection management texts cover many of the issues contained herein (conspectus method, deselection, collection development policies), but tend to be light on selection tools for the librarian charged with building in these areas. Acquisitions Librarian (now Journal of Electronic Resources Librarianship) published a series of subject-specific collection development articles in 2004, which were incorporated into the monograph, Selecting Materials for Library Collections (Haworth Information, 2004). Although the theoretical content holds and selection tools are still used, some descriptions in this book are outdated. The chapter on nursing refers to the Brandon-Hill lists and E-streams for nursing, neither of which is being maintained. The ALCTS Sudden Selector's guides are limited in subject coverage, to date addressing biology, chemistry, business, and communications. Library Collection Development for Professional Programs, therefore, is a welcome guide for students of library and information science, new librarians, or those with new selection responsibilities for professional programs. The disciplines profiled include both undergraduate and postgraduate programs: business, design, teacher education, engineering, nursing and allied health, law, library science, theology, and veterinary medicine. The chapter on bioinformatics outlines the process of developing collection guidelines for an evolving discipline, and can be applied to any emerging area of study. Interdisciplinary studies is included, as these have proliferated in recent years and are now career-oriented and ... structured similarly to professional programs (164). A book of contributed chapters can be uneven in content and suffer from repetition, especially in discussion of the common themes of budgets, marketing, deselection, and collection development policies. While there is some necessary overlap, these fundamental topics are covered in various depths and address needs specific to the discipline. Several touch on the importance of deselection as part of collection development, and the text also includes two chapters of case studies on weeding projects that are applicable to any discipline. The meat of each chapter, however, are the selection tools. Most chapters provide lists of core books, journals, and databases in the discipline, as well as resources for identifying additional titles from accrediting agencies, professional societies, discipline-specific publishers, review services, and electronic discussion lists. Some chapter authors provide lists of relevant Library of Congress call number ranges to assist collectors in identifying related materials in cross-disciplinary topics. Free and open access sources are included. All chapters are written by practicing librarians, and chapters progress from the broad to the specific. …

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)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesCommunication savante
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,898
Score d'incertitude au seuil0,998

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0010,000
Communication savante0,0030,010
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 Opus0,020
Tête enseignante GPT0,240
Écart entre enseignants0,221 · 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