UniSono

08/09/2026

As more and more students begin using A.I. to complete assignments, professors across the country are changing their approach—and losing their hope. “My emotional response to all this is hard to describe, something between disgust and despair,” a history professor writes. “Was it always the case that half of our students would cheat if it were easy enough?” Jay Caspian Kang collects testimonials from 12 faculty members from across the country on how A.I. usage in the classroom has changed their work. Read them here: https://www.newyorker.com/news/fault-lines/the-despair-of-the-professor-in-the-age-of-ai?utm_source=facebook&utm_medium=social&utm_campaign=dhfacebook&utm_content=app.dashsocial.com%2Fnewyorkermag%2Flibrary%2Fmedia%2F694513270

20/08/2026

&

How did Professor Arday become a victim of the educational system he was also using?

18/08/2026

Adjuncts were originally used in small numbers, as a way to bring industry professionals into the classroom. Now they’re a cost-saving measure, with positions often filled by academics vying for a decreasing number of tenure-track jobs. This is the case even as universities continue to spend big in other areas, such as to cover the costs of their increasingly large administrations or to construct new buildings designed to garner prestige and lure students.

Adjuncts typically receive no benefits: no employer-sponsored healthcare plan, no retirement plan, no sick leave, no disability, and, of course, no support for research and writing. This isn’t just bad for adjuncts as workers; it’s bad for everyone, affecting the quality of education, our ideals of equity, and our ability to create a society rich with new art, stories, and ideas.

Adjunct labor disproportionately affects women and Black people and, ironically, is most often used in the liberal arts and humanities, disciplines that often position themselves as centers of freedom and diversity. Read more from Maria Adelmann: https://www.thenation.com/article/society/adjuncting-until-the-end-of-time/

18/08/2026

and

AI is disrupting one the main assumptions underlying academia and scholarship which is that publication numbers act as direct correlates of a scholar's academic quality and rigour (also known as Metric productivism).

In this intellectually engaging piece, Thomas Manabu argues that generative AI is not simply disrupting academic publishing. It is exposing and completing a problem already built into the publish-or-perish system.

For decades, universities have rewarded researchers for producing large numbers of journal articles, citations, and other measurable outputs. This encouraged academic work to become standardized, countable, and treated almost like a commodity.

Now, AI can produce these standardized outputs quickly and cheaply. If articles can be generated at scale, reviewed partly by AI, and cited by other AI-assisted papers, publication numbers may no longer provide reliable evidence of human effort, expertise, originality, or scholarly judgment.

In simple terms, academia created a system that values the number of papers produced. AI can now produce those papers faster than humans. As a result, the system’s main currency may lose its meaning.

The paper is a critical and theoretical argument rather than an original experiment. It combines ideas from Bourdieu, Lyotard, Lave and Wenger, academic capitalism, and postdigital theory with recent evidence about AI-assisted writing, AI-generated peer reviews, paper mills, and fabricated citations.



Reference
Manabu, T. (2026). The machine consumes itself: Artificial intelligence and the end of publish-or-perish. Postdigital Science and Education. Advance online publication.

18/08/2026

My latest on Substack: Academic Incels Strike Again.

17/08/2026

"The race of white academics is rarely turned into evidence about the fitness of white people as a group"

09/08/2026

in lieu of : “awesome”!

"The University took this LinkedIn-coded 'journey' narrative at face value, never questioning it, then tried to walk it back in the heat of bad press.

"Which is symptomatic of the widespread crisis in UK universities, where the PR departments have replaced the brain departments.'" 👇

17/06/2026

15/06/2026

20/02/2026

As an English professor, the video essayist known as ‘josh (with parentheses)’ has, over the past few years, witnessed a faculty-wide panic about students using large language models (LLMs) to plagiarise assignments.

The experience inspired him to create this sprawling video essay on the meaning of LLMs – what they can do and, more to the point, what they can’t. To him, this includes the very act of writing itself, which he contends, borrowing the words of Stephen King, requires a ‘meeting of the minds’.
https://aeon.co/videos/ai-isnt-merely-bad-at-writing-it-does-not-and-cannot-write