University Transformations and the New Knowledge Production Regime in Informational Capitalism
Bibliographic record
Abstract
This article examines undergoing transformations in universities in the context of the structural crisis of capitalism, which began more than 40 years ago. This crisis is at the heart of one of the main contradictions of capitalism: while capital needs living labour to produce value, the dynamic of accumulation requires the replacement of human labour by machines. We will show how capital attempts to overcome this contradiction by modifying the nature of knowledge, learning institutions and human beings to turn them into productive investments, whose profitability can be measured. The contemporary mutations of universities are linked to the globalization, financialization and commodification of knowledge. We also observe transformations in universities’ institutional arrangements and in individual human consciousness. Our perspective combines institutionalist political economy and Marxian critique of value, showing how material, institutional and cultural transformations are dialectically articulated in a new form of social regulation. We will show how there is a complementarity between the transformations of political, economic and learning institutions and their linkage with a new mode of knowledge production. The general goal being that advanced mastery of knowledge and information will increase the efficiency of the technological and economic system and its endless acceleration.
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.047 |
| Scholarly communication | 0.009 | 0.009 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".