The prompt always requires selecting a relevant quote from the reading with a page citation. Bots regularly hallucinate citations and quotes, which indicates plagiarism in their “own” response to the prompt. But my goal here is not so much to detect bot use — they have to take in-person midterm and final exams, closed book, no notes, no devices. The goal of the weekly assignment is to get even the least motivated student to engage with the material each week. Even if they don’t read the weekly text material, they’ll at least see the bot’s response.

Some students have had the bot do the entire assignment. The midterm and final exams are intended to incentivise them to at least read the bot’s response even if they didn’t read the course material. Other students seem to have given the bot the prompt first, then reworded it to disguise it as their “own” response. Rewording engages with the ideas, so that’s a bit of learning even if it’s skirting the reading.

I could forgo the weekly assignments and rely on the exams, but over the years the best students have reported that the weekly assignments were where they learned the most. I could also forgo all assessments and give them all A’s on the assumption that unmotivated students can’t be reached, so why torture them? But since I teach in a public university which is regularly attacked for its majority minority population, it’s important for me to uphold the value of their degree in the public eye. Those attacks are thinly veiled attacks on my students’ communities, not just attacks on my institution, its faculty and its students. If I were teaching at Princeton, I wouldn’t have that worry — grade inflation hasn’t destroyed elite degrees, and shouldn’t, since those students were well educated before they arrived. It’s unfair that strivers are held to a higher standard, but I believe education is a primary good, so the unfairness is the cost of a greater good. And for the most part, my students are wonderful, brilliant and beautiful minds who deserve the best.

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Thanks, really interesting points.
Cathy

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It’s available on apple podcasts; I download it.

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Where do skills come from in Braverman? He never discusses how workers initially acquire skills; rather, he takes skilled labor as his historical baseline and then tracks its degradation under capitalism.
Braverman’s framework assumes that workers arrive at capitalism already skilled through traditional craft training systems. He defines skill as encompassing “task variety and scope, responsibility and autonomy, and the integration of mental, manual and social components of work” — what he calls the “craft model.” This skill was acquired through “worker-engaged, practical — theoretical workplace systems of learning most associated with craft apprenticeships.”
In early capitalism, “the capitalist utilizes labor as it comes to him from prior forms of production, carrying on labor processes as they had been carried on before.” Craftspeople and skilled laborers “maintained control over the immediate process of production and jealously guarded their skills.” Capital’s historical task was not to create skills but to expropriate knowledge that workers already possessed. But this is short-sighted because Braverman doesn’t elaborate on the historical context that he invokes — the medieval and early modern guild system, which structured skill transmission for centuries:
· Apprenticeship (typically 7 years): Young workers learned under a master craftsman, progressing from basic tasks to complex techniques through observation, imitation, and supervised practice.
· Journeyman status: After completing apprenticeship, workers traveled to different workshops, gaining diverse experience and refining their skills while working on a “masterpiece.”
· Master craftsman: Those who produced an acceptable masterpiece and gained guild approval could operate their own workshops and train the next generation of apprentices.
This was a system of intergenerational, experiential, and fundamentally social knowledge transmission. Skills were not individual achievements but collective property of the craft community, maintained through ritual, secrecy, and social obligation.

Significantly, Braverman’s analytical confidence derives partly from his own experience. Between 1938 and 1942, he served a four-year apprenticeship as a coppersmith at the Brooklyn Navy Shipyard, then worked for years in various trades — pipe fitting, sheet metal work, layout — before transitioning to white-collar work.

His methodology “elevates the critical role of work experience in forming theory.” He writes from within the craft tradition, which may explain why he takes its existence for granted rather than interrogating its origins and social conditions. Braverman never theorizes the social and economic structures that made craft skill formation possible in the first place. He assumes skills exist as a baseline, then tracks their destruction.
But craft mastery was inseparable from the social relations that financed and structured it. You cannot have seven-year apprenticeships without someone bearing the cost. You cannot have intergenerational knowledge transmission without obligation structures compelling it. You cannot have guild-certified expertise without hierarchies determining who qualifies.
Although Braverman sees capitalism destroying these skills, he does not see that the skills themselves were embedded in pre-capitalist relations of obligation and debt — not monetized debt, but social debt nonetheless.

Without this Graeberian framing, Braverman also misses the rise of neoliberalism. If you assume — as Braverman implicitly does — that skills are simply there, produced through some untheorized process of social reproduction, then you miss the ontological transformation that neoliberalism actually accomplishes.
Neoliberalism financializes the very formation of subjectivity. It doesn’t just deskill existing workers (Braverman) or sort them through credentials (Montgomery) — it transforms the process of becoming capable into a debt relation. Your intelligence, your skill, your capacity to labor — all appear as debt-financed assets rather than social inheritances or natural endowments.
This is why student debt is so paradigmatic: it makes visible that you owe your very selfhood to creditors. You did not “earn” your human capital through effort or merit alone — you borrowed it, and you can never fully repay it.

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For one, there is very little conversation about data. There is a lot of poor data, either inaccurate or strongly biased. I also wonder if enterprise level applications will stifle experimentation and creativity. We already see organizations turning research over to Chinese organizations. My biggest concern here is that, over time, historical information would result from AI based decisions, including embedded biases and errors. With apologies, I often refer to this as AI self gratification.

Currently, AI looks to me as a newer version of crypto. It comes with a lot of hype, but doesn’t scale to its promise. I question that the only real objective is to make lots of money for a few people until it eventually becomes inconsequential.

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