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As a system of library classification the DDC is "arranged by discipline, not subject", so a topic like clothing is classed based on its disciplinary treatment (psychological influence of clothing at 155.95, customs associated with clothing at 391, and fashion design of clothing at 746.92) within the conceptual framework. [2]
Most countries employ some sort of classification system for certain government information. For example, in Canada, information that the U.S. would classify SBU (Sensitive but Unclassified) is called "protected" and further subcategorised into levels A, B, and C.
We classify too much information, and it takes too long to declassify it.
A library bookshelf in Hong Kong classified using the New Classification Scheme for Chinese Libraries, an adaptation of the Dewey Classification scheme. The Dewey Decimal Classification (DDC), colloquially known as the Dewey Decimal System, is a proprietary library classification system which allows new books to be added to a library in their appropriate location based on subject.
Pragmatic classification (and functional [40] and teleological classification) is the classification of items which emphasis the goals, purposes, consequences, [41] interests, values and politics of classification. It is, for example, classifying animals into wild animals, pests, domesticated animals and pets.
For example, a specific technical capability of a weapons system might be classified Secret, but the aggregation of all technical capabilities of the system into a single document could be deemed Top Secret. Use of information restrictions outside the classification system is growing in the U.S. government.
Classification systems are systems with a distribution of classes created according to common relations or affinities. Wikimedia Commons has media related to Classification systems . See also:
Classification is the activity of assigning objects to some pre-existing classes or categories. This is distinct from the task of establishing the classes themselves (for example through cluster analysis). [1] Examples include diagnostic tests, identifying spam emails and deciding whether to give someone a driving license.