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{{d|High modernism|haɪ ˈmɒdᵊnɪzᵊm|n}} | {{quote|{{d|High modernism|haɪ ˈmɒdᵊnɪzᵊm|n}} | ||
A form of modernism characterised by an unfaltering confidence in science and technology as means to reorder the social and natural world.}} | A form of modernism characterised by an unfaltering confidence in science and technology as means to reorder the social and natural world.}} | ||
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====Bring your own job satisfaction==== | ====Bring your own job satisfaction==== | ||
[[Data modernism]] has systematically undermined the | [[Data modernism|This philosophy]] has systematically undermined the organisational importance of ''people with [[ineffable]] expertise''. Over thirty or forty years the poor professional has, by a thousand literal cuts, been denuded of her status. It has been a slow, inevitable descent into the quotidian. First they came for her assistants — typists, receptionists, proof-readers, mail and fax room attendants — then her kit — company cars, laptops, mobile devices — then her space — that once commodious office became communal, then lost its door, then its walls, diminished to a dedicated space along a row, and most recently has become a conditional promise of a sanitised space at a [[telescreen]] somewhere in the building, assuming you’re quick or enough people are out sick or on holiday. | ||
This | This managed deprecation of the value of [[expert|expertise]] is a logical consequence of [[data modernism]]: human “magic” is not good, but a necessary evil: risky, inconstant, evanescent, fragile, expensive, inconstant and, most of all, ''hard to quantify'' — and if can’t quantify it, you can’t evaluate it, and if you can’t evaluate it you shouldn’t, in a data-optimised world, ''do'' it. As our tools have developed — thanks to the explosion in the power of information processing since 1980 — | ||
the range of things on which we must still rely on meatware has diminished. Many [[thought leader]]s<ref>The most prominent is [[Ray Kurzweil]], though honourable mention to DB’s former CEO John Cryan and, of course, there is the redoubtable [[Richard Susskind|Suss]]. </ref> foretell it is only a matter of time until there are none left at all. | |||
====Sciencing the shit out of business==== | ====Sciencing the shit out of business==== | ||
The [[metaphor]] works best if we consider the workforce to be carbon-based Turing machines. Such a distributed network is best optimised centrally, and from the place with the best view of the big picture: the top.<ref>curiously, this is not the theory behind a distributed network of computers, which is rather [[end-to-end principle|controlled from the edges]]. But still.</ref> All relevant information can be articulated as [[data]] — you know: “[[Signal-to-noise ratio|In God we trust, all others must bring data]]” — and, with enough data everything about the organisation’s present can be known and its future extrapolated: this is the promise of science and technology.<ref>It isn’t. It really, really isn’t. But still.</ref> | The [[metaphor]] works best if we consider the workforce to be carbon-based Turing machines. Such a distributed network is best optimised centrally, and from the place with the best view of the big picture: the top.<ref>curiously, this is not the theory behind a distributed network of computers, which is rather [[end-to-end principle|controlled from the edges]]. But still.</ref> All relevant information can be articulated as [[data]] — you know: “[[Signal-to-noise ratio|In God we trust, all others must bring data]]” — and, with enough data everything about the organisation’s present can be known and its future extrapolated: this is the promise of science and technology.<ref>It isn’t. It really, really isn’t. But still.</ref> |