Very much agree. If science behaves anyway close to what Kuhn understood it to be (paradigms, normal science, etc), then LLMs would be particularly bad at discerning the quality of contributions that donβt fit standards of practice, both very good and very bad.
05.12.2025 15:28 β π 18 π 8 π¬ 2 π 0
why itβs good for scientists, engineers, administrators, diplomats and jurists to be artistically literate
02.12.2025 16:32 β π 18 π 9 π¬ 1 π 1
Thanks so much for the kind words! I'm really pleased that the argument rings true. And interesting to hear what digital technologies have done to journalism - I wonder where that goes next.
29.11.2025 17:35 β π 1 π 0 π¬ 0 π 0
Congratulations!
28.11.2025 15:38 β π 1 π 0 π¬ 0 π 0
My hot take is that in the era of easily-generated AI nonsense papers journals that want to ensure high quality will need to start hiring full-time professional editors and reviewers instead of relying on volunteer labor from overworked academics.
28.11.2025 15:23 β π 141 π 36 π¬ 5 π 0
Thanks! I hope so!
27.11.2025 18:48 β π 0 π 0 π¬ 0 π 0
Thanks!
27.11.2025 15:37 β π 0 π 0 π¬ 0 π 0
Thanks so much, Mike! Hope that you are well!
27.11.2025 15:35 β π 1 π 0 π¬ 0 π 0
Cost-cutting measures are also important in explaining why overloaded employees are not provided with relief. One easy response to task overload is to throw money at the problem, and that hasn't happened. (Education&library workers have experienced some of the most extreme increases in tasks, btw).
27.11.2025 05:31 β π 1 π 0 π¬ 1 π 0
The key question is whether tasks are added because an employer can impose them (e.g., to save costs), or because the science says that outputs are better delivered via those tasks. I think that over the past 150 years the data are more consistent with the latter, but the former happens too.
27.11.2025 05:31 β π 1 π 0 π¬ 1 π 0
This is an entirely reasonable question. If forced to pick, I would call it a Weberian contradiction (because the primary mechanism is rationalization). Also, a lot of change happens in the pre-neoliberal era. But in recent decades you're correct to note the importance of cost-cutting measures.
27.11.2025 05:31 β π 0 π 0 π¬ 1 π 0
Thanks so much for the kind words, Kieran. Have a lovely holiday!
26.11.2025 22:22 β π 1 π 0 π¬ 0 π 0
THE DIVISION OF RATIONALIZED LABOR
MICHELLE JACKSON
This is a properly interesting book. From the cradle, social scientists of all stripes learn that everything from productivity to alienation is rooted in an increasingly specialized division of labor. Jackson basically asks: if this is true, why does my job consist of so many distinct goddamn tasks?
26.11.2025 21:53 β π 94 π 9 π¬ 2 π 0
Thanks, Sophie!
26.11.2025 22:17 β π 0 π 0 π¬ 0 π 0
Thanks so much, Ayse!
26.11.2025 22:17 β π 0 π 0 π¬ 0 π 0
There will be a kindle version, I believe. That would give you the option of having a robot read it out in the least interesting way possible. But perhaps still better than me with my British-California accent.
26.11.2025 21:54 β π 1 π 0 π¬ 1 π 0
Thanks, Herman! Glad that it sounds interesting!
26.11.2025 21:04 β π 0 π 0 π¬ 0 π 0
I have to imagine that you are right!
26.11.2025 21:02 β π 1 π 0 π¬ 1 π 0
Thanks, Neli!
26.11.2025 20:43 β π 1 π 0 π¬ 0 π 0
Thanks!
26.11.2025 20:43 β π 1 π 0 π¬ 0 π 0
Thanks so much - hope that you find it interesting!
26.11.2025 20:42 β π 1 π 0 π¬ 1 π 0
That's lovely - thanks so much for ordering. Hope to see you again soon!
26.11.2025 20:41 β π 1 π 0 π¬ 2 π 0
Specialization is a logic that pushes toward more responsibilities, not fewer. Workers at every level end up overworked and overwhelmed.
26.11.2025 17:45 β π 18 π 2 π¬ 1 π 0
When science started predicting bad outcomes (e.g., crime, low test scores, poor health), prevention also became part of the job. Police, teachers, doctors were tasked with ever more complicated preventive work.
26.11.2025 17:45 β π 14 π 0 π¬ 1 π 0
Why? Probabilistic science. As research got better at predicting outcomes, it reshaped jobs. Those who specialized in given outputs were given a whole range of new tasks to complete in order to maximize those outputs.
26.11.2025 17:45 β π 14 π 0 π¬ 1 π 0
But over the past 150 years, a paradox of specialization has emerged: specialists are taking on a broader range of tasks. You can see this across all sorts of occupations. Teachers, police, physicians, machinists - each specialty keeps absorbing new tasks.
26.11.2025 17:45 β π 18 π 0 π¬ 1 π 0
Social scientists have assumed that, as societies modernize, workers take on a narrower and narrower range of tasks. And indeed, in early industrialization we saw just that.
26.11.2025 17:45 β π 12 π 0 π¬ 1 π 0
Front cover of The Division of Rationalized Labor. The cover includes four pictures: pen and paper, microscope, factory tower, police badge. Modern-looking yellow lines and graphs are superimposed.
My new book, The Division of Rationalized Labor, is now shipping! A brief summary of the argument to followβ¦
26.11.2025 17:45 β π 100 π 42 π¬ 9 π 6
PhD candidate, SOMET - NASP
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everything 'politics out of security', professor of international politics, Algorithmic reason: The new government of self and other (2022)