Powered by OpenAIRE graph
Found an issue? Give us feedback
addClaim

Functional Classification of Archival Material

Authors: E. G. Campbell;

Functional Classification of Archival Material

Abstract

D ISCUSSION of the problems inherent in classifying archival material has traditionally centered around an assumption that all documents must be arranged in groups corresponding to the administrative units of the government which created or last made use of them. This theory requires that, before any documents be examined, minute research establish the history of all the departments, bureaus, divisions, sections, and other units which have at one time or another, for longer or shorter periods, constituted the government. Only thereafter, as a second step, may documentary material be examined and each file assigned to its proper organizational unit. If this method is adopted, say its advocates, the final classification of any collection of documents will faithfully reflect the administrative history of the governmental unit from which it stemmed. The organizational history thus reflected may conceivably be very interesting, but this theory overlooks the fundamental purpose of classification, whether of books or of documents, i.e., to make the material readily available to searchers. Necessarily it depends on an unwarranted assumption that the searcher knows as much about the administrative history as did the classifier on the day that he created the scheme. Of course, the very fact that this history is usually so obscure that its discovery takes months of detailed research indicates the fallacy of this hypothesis. Only rarely will the searcher have a knowledge of administrative history-or an interest in it-comparable to that of the classifier triumphantly emerging from months spent in studying it for the specific purpose in hand. Even the classifier soon forgets details and must constantly refer to his copious

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    8
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
8
Average
Top 10%
Average
Related to Research communities
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!