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All I meant to refer to was the increasingly social character
of production, certainly not its equalization or de-skilling. By all means
science and technology are attributes of human activity and perhaps I am
splitting hairs if I don't include the effort put in by an individual in
acquiring technical knowledge as effort expended in the process of production
(taking into account the full course of production and reproduction of labour
power), But again, that effort is diffuse and manifestly social. What I had in
mind was the difficulty in many highly automated labour processes of attributing
a given level of output to any individual expenditure of effort. I use a
spreadsheet in my work and most of the "effort" of performing the calculations
is done by the code. This is equally true if I do 100 calculations or 10,000
calculations. There's a presumption that something of what a teacher
imparts to his or her students may somewhere along the line contribute to
the quality of somebody's job performance but to even imagine tracking such long
and loosely coupled chains is almost preposterous.
Jim, I still can't grasp what you mean by
"empirical numbers". As someone who works with statistics all the time, I can
assure you that there are quantitative facts and qualitative facts. It doesn't
do the quantitative facts an honour to insist that qualitative facts must be
represented as quantities before they can be granted equal status as facts.
However, it wouldn't be difficult to produce numbers to investigate my
assertion. All one has to do is develop a scale and a questionnaire and get
people to subjectively rate their expenditure of effort at time 1 and time
2. Of course then you get into all kinds of issues about self reporting and
whether the scale represents the same thing to people at the two times, etc.
But a whole lot of the empirical numbers out there were put
together that way, too.
Carrol Cox wrote,
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Title: RE: [PEN-L:27637] Re: Slaughter of dead labour (dead already but not again, yet)
