Classifying Science: Phenomena, Data, Theory, Method, Practice (Information Science and Knowledge Management (7))

Szostak, Rick

ISBN 10: 1402030940 / ISBN 13: 9781402030949

Edité par Springer, 2005

A propos de cet article

304 Pages, Usual Ex-Lib Marks O/W Sound.

N° de réf. du vendeur 040378

Détails bibliographiques

• Titre: Classifying Science: Phenomena, Data, Theory, Method, Practice (Information Science and Knowledge Management (7))
• Éditeur: Springer
• Date de parution: 2005
• Langue: anglais
• ISBN à 10 chiffres: 1402030940
• ISBN à 13 chiffres: 9781402030949
• Reliure: Hardcover
• Édition: 1st Edition.
• État de l'article: Very Good
• Type de livre: Ex-Library
• Catalogues du vendeur:
  • Business

A propos de ce titre

Synopsis

Classification is the essential first step in science. The study of science, as well as the practice of science, will thus benefit from a detailed classification of different types of science.

In this book, science - defined broadly to include the social sciences and humanities - is first unpacked into its constituent elements: the phenomena studied, the data used, the theories employed, the methods applied, and the practices of scientists. These five elements are then classified in turn. Notably, the classifications of both theory types and methods allow the key strengths and weaknesses of different theories and methods to be readily discerned and compared. Connections across classifications are explored: should certain theories or phenomena be investigated only with certain methods? What is the proper function and form of scientific paradigms? Are certain common errors and biases in scientific practice associated with particular phenomena, data, theories, or methods? The classifications point to several ways of improving both specialized and interdisciplinary research and teaching, and especially of enhancing communication across communities of scholars. The classifications also support a superior system of document classification that would allow searches by theory and method used as well as causal links investigated.