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  • × author_ss:"Brookes, B.C."
  • × theme_ss:"Information"
  1. Brookes, B.C.: ¬The foundations of information science : pt.2: quantitative aspects: classes of things and the challenge of human individuality (1980) 0.00 
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    Abstract
    An outline history describes how man has extended the process of objectivization from everyday practicalities to modern science. Modern techniques of quantification awaited the adoption of the Hindu-Arab numerals and the creation of a calculus for their use. It is argued that the use of these numerals has provided analytical instruments which, though ideally adapted to the exploration and exploitation of the physical world, fail to capture important aspects of the individuality of response within groups which humans display in their social behaviour. New quantitative techniques more sensitive to these aspects are therefore needed in the social sciences. A numerical example is used to illustrate how frequency-rank statistics make fuller use of empirical information in the social sciences than conventional statistics which, by using classes, discards information related to individuality
  2. Brookes, B.C.: ¬The foundations of information science : pt.4: information sciences: the changing paradigm (1981) 0.00 
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    Abstract
    The argumetns of Pt.1-3 are applied to two main issues: (a) the separation of the physical and mental components of information phenomena, illustrated by a discussion of the aging of periodicals, (b) the role of the Bradford Law and ranking techniques as a means of exploiting all the information inherent in the raw data. The paper concludes with a brief discussion of a propsed new kind of data-base in which objective information is structured into objective knowledge
  3. Brookes, B.C.: Measurement in information science : objective and subjective metrical space (1979) 0.00 
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    Abstract
    It is argued that in information science we have to distinguish physical, objective, or document space from perspective, subjective, or information space. These two spaces are like maps and landscapes: each is a systematic distortion of the other. However, transformations can be easily made once the two spaces are distinguished. If the transformations are omitted we only get unhelpful physical solutions to information problems

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