Thoughts on production, alienation, and ideology

Category: Corporate World (Page 10 of 13)

These are posts on the corporate world from the blog Base and Superstructure. The corporate world is complex. It’s confusing to anyone not involved. Corporate life has its own characteristic forms, language, jargon, and mannerisms. Neoliberalism structures our politics and thought, and so this is also a major focus of these posts. The non-profit corporate sector is its own distinct mini-world. And, in particular, spending significant time involved in corporate life engenders a special form of ennui. All of these subtopics feed off of one another. Each is critical to thinking about corporate life and its role in the United States.

Essential Workers and Wages

Let’s talk about essential workers. But first, let’s take a look back. A few weeks ago, I wrote about how wages get assigned in the capitalist system. The short version? Capitalism assigns wages to people according to, roughly, the ‘social worth’ it assigns to them. Society makes certain judgments about the acceptable standard of living for certain people. Or, in Marxist terms, the accepted value of their labor power. By contrast, the value workers add has nothing to do with wages.

What’s that got to do with essential workers? Glad you asked.

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Adjuncts and COVID-19

Adjuncts aren’t slaves. I mention this only because I’ve heard people draw the analogy. Nevertheless, adjuncts suffer under the class war the wealthy wage against workers. Thea Hunter’s story highlights the human toll of the class war on adjuncts. But COVID-19 brings it out in new ways.

As people get ready for the fall semester, let’s look at adjuncts and COVID-19.

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Do We Get Jobs by Showing We ‘Add Value’?

Anyone looking for a job – especially in the white-collar world – knows the business literature says they should show they ‘add value.’ The underlying reasoning? Companies search for value. They love it. They pay for it. If workers can show they add value, companies will give them a job and pay them big money.

This is a load of baloney. Let’s talk about why.

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The ‘Skills Gap’ Myth

Corporate America loves its myths. Especially ones allowing it to pat itself on the back, pretend its operations aren’t political, and solicit taxpayer funding for training its remaining workers. There’s little it loves more than pretending it’s providing a service and getting neither attention nor respect in return.

You know, like the skills gap myth. What’s the idea behind the ‘skills gap’? There’s a mismatch between the skills potential workers have and the skills employers want. In other words, a…skills gap. It’s not, they say, that they’re not hiring. It’s that they’re not finding what they need. What’s the evidence that there’s a skills gap? Employers say there’s one. Yes, survey data is the primary piece of evidence, even though employers might have incentive to…well…pat themselves on the back, pretend their operations aren’t political, and solicit taxpayer funding for training their workers.

In short, they’re working the refs.

In fact, it’s not all based on survey data. Some of it researchers base on the number of unfilled jobs. The problem? If there really were a skills gap – at least a skills gap motivating employers to do something about it – they’d lower their standards, or they’d offer better jobs, more pay, or training. Do they do these things? Well, no. While there might be small gaps in specific, narrow fields, there’s none whatsoever in the broader employment market. Nor has there been for a long, long time. If there were, you’d see employers offering more money or training.

As it happens, I recently read a poll providing some additional insight into the myth. It shows much of what we’d expect. But it also shows yet another reason employees are reluctant to take jobs: they don’t want to move, because they’re afraid of getting laid off. Why do you suppose that might be?

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One Question About Heideggerian AI

I’ve been interested in questions concerning artificial intelligence (AI) for a long time. Back in the days way before I left academia. In my undergrad days at Indiana University, I even began as a Cognitive Science major. But the more I thought about these issues, the more I realized I was really interested in more philosophical questions about mind, meaning, and human understanding. Less so the science of AI. Eventually this led me to the work of Hubert Dreyfus and Heideggerian AI, Dreyfus’s application of the philosophy of Martin Heidegger to the field.

But I’m getting a bit ahead of myself.

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