Images of Modernity in the 21st Century: Automodernism
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In the past twenty years, all the key authors who wrote about the state of postmodernity either began to be engaged in other research areas (Fredric Jameson) or declared that the postmodernism is dead (Linda Hutcheon). Since 2000, when the fatigue from the postmodernism became evident to everyone, various researchers, critics and theorists began to offer their concepts of our era. However, all these theories, emphasizing the change of cultural paradigms, interpret culture traditionally not paying attention to total digitalization and the introduction of new technologies into our lives. However, in two concepts of our time these processes become central. These are the concepts of the digimodern and automodern. The focus of this article is the idea of automodernism, proposed by the American social theorist Robert Samuels in 2007/2009. He believes that our world is characterized by two contradictory tendencies – automation and the desire for autonomy (personal freedom). From his point of view, the former often does not allow to reach the latter due to certain circumstances. Samuels, using the example of a car, a personal computer, the Internet, etc., shows what exactly our culture is in the broadest sense. Analyzing the concept of “digital youth,” he also pays attention to the formation of a new subjectivity of the era of automodernity. Finally, the most interesting part of the concept of automodernism, which is most relevant today, is the criticism of leftwing social and philosophical concepts (Slavoj Žižek, Jameson) and cultural theories (Henry Jenkins). At the end of the article, the author mentions Adam Greenfield’s latest book Radical Technologies: The Design of Everyday Life. Thanks to this book, Samuels’ theory can be verified.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.008 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it