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Theories of the Information Society, Third Edition - Cryptome

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POST-INDUSTRIAL SOCIETY<br />

views on information that deserve attention. Describing post-industrial society,<br />

Bell sees not only an expansion in information as a result <strong>of</strong> more service sector<br />

employees. There is ano<strong>the</strong>r, more qualitatively distinct feature <strong>of</strong> information<br />

in PIS. This is Bell’s identification <strong>of</strong> what he calls ‘<strong>the</strong>oretical knowledge’. Now,<br />

while an expansion <strong>of</strong> pr<strong>of</strong>essionals will certainly increase <strong>the</strong> number <strong>of</strong> people<br />

using and contributing to ‘<strong>the</strong>oretical knowledge’, we are not considering here a<br />

mere quantitative – and hence relatively easily measured (numbers <strong>of</strong> lawyers,<br />

scientists and so forth) – phenomenon. It is, ra<strong>the</strong>r, a feature <strong>of</strong> PIS which distinctively<br />

marks it <strong>of</strong>f from all o<strong>the</strong>r regimes and which has pr<strong>of</strong>ound consequences.<br />

It is not even altoge<strong>the</strong>r clear how it fits with much <strong>of</strong> Bell’s o<strong>the</strong>r descriptions<br />

<strong>of</strong> PIS (occupational changes, sectoral shifts and <strong>the</strong> like), since ‘<strong>the</strong>oretical knowledge’s’<br />

centrality to PIS does not, in principle at least, require major changes in<br />

jobs or, indeed, <strong>the</strong> nature <strong>of</strong> work.<br />

It does, however, have enormously significant effects on all aspects <strong>of</strong> life.<br />

Bell’s argument is that ‘what is radically new today is <strong>the</strong> codification <strong>of</strong> <strong>the</strong>oretical<br />

knowledge and its centrality for innovation, both <strong>of</strong> new knowledge and<br />

for economic goods and services’ (Bell, 1989, p. 169). This feature allows Bell to<br />

depict<br />

[t]he post-industrial society [as] a knowledge society [because] <strong>the</strong> sources<br />

<strong>of</strong> innovation are increasingly derivative from research and development<br />

(and more directly, <strong>the</strong>re is a new relation between science and technology<br />

because <strong>of</strong> <strong>the</strong> centrality <strong>of</strong> <strong>the</strong>oretical [sic] knowledge).<br />

(Bell, 1973, p. 212)<br />

The constituents <strong>of</strong> ‘<strong>the</strong>oretical knowledge’ can be better understood by<br />

contrasting PIS with ‘industrial’ society. In <strong>the</strong> past innovations were made, on<br />

<strong>the</strong> whole, by ‘talented amateurs’ who, encountering a practical problem, worked<br />

in an empirical and trial-and-error way towards a solution. One thinks, for<br />

example, <strong>of</strong> George Stephenson developing <strong>the</strong> railway engine: he was faced by<br />

<strong>the</strong> practical difficulty <strong>of</strong> transporting coal from easily accessible collieries situated<br />

a distance from rivers and in response he invented <strong>the</strong> train which ran on<br />

tracks and was powered by steam. Stephenson accomplished this without benefit<br />

<strong>of</strong> advanced level education and knowledge <strong>of</strong> scientific principles <strong>of</strong> steam<br />

power or traction. Or, again, we have James Watt’s steam engine, developed<br />

from his attempts to improve <strong>the</strong> functioning <strong>of</strong> Thomas Newcomen’s earlier<br />

model. And in <strong>the</strong> early twentieth century we have Henry Ford, a talented<br />

tinkerer who pioneered <strong>the</strong> automobile without benefit <strong>of</strong> formal schooling in<br />

engineering, but with an insatiable curiosity and an enviably practical dexterity.<br />

In contrast, PIS is characterised by ‘<strong>the</strong> primacy <strong>of</strong> <strong>the</strong>ory over empiricism<br />

and <strong>the</strong> codification <strong>of</strong> knowledge into abstract systems <strong>of</strong> symbols that . . . can<br />

be used to illuminate many different and varied areas <strong>of</strong> experience’ (Bell, 1973,<br />

p. 20). This means that innovation nowadays is premised on known <strong>the</strong>oretical<br />

principles – for example, computer science takes <strong>of</strong>f from Alan Turing’s seminal<br />

paper ‘On Computable Numbers’ which set out principles <strong>of</strong> binary ma<strong>the</strong>matics,<br />

and <strong>the</strong> extraordinary miniaturisation <strong>of</strong> integrated circuits that has allowed <strong>the</strong><br />

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