The Swindle of Democracy in the Neoliberal University and the Responsibility of Intellectuals
Bibliographic record
Abstract
Abstract This article argues that democracy is on life support in the United States. Throughout the social order, the forces of predatory capitalism are on the march—dismantling the welfare state, corrupting politics with outside money, defunding higher education, expanding the corporate-surveillance-military state, widening inequalities in wealth and income, and waging a war on low income and poor minorities. As market mentalities and moralities tighten their grip on all aspects of society, democratic institutions and public spheres are being downsized, if not altogether disappearing. As these institutions vanish—from higher education to health care centers—there is also a serious erosion of the discourses of community, justice, equality, public values, and the common good. This article argues that given this current crisis, educators, artists, intellectuals, youth, and workers need a new political and pedagogical language centered around the notion of radical democracy in order to address the changing contexts and issues facing a world in which capital draws upon an unprecedented convergence of resources—financial, cultural, political, economic, scientific, military, and technological—to exercise powerful and diverse forms of control.
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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 | 0.016 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.015 | 0.087 |
| Scholarly communication | 0.018 | 0.010 |
| Open science | 0.001 | 0.011 |
| Research integrity | 0.005 | 0.008 |
| Insufficient payload (model declined to judge) | 0.005 | 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".