Bibliographic record
Abstract
This text analyzes the contemporary crisis of democracy, arguing that it is no longer toppled by overt military coups but eroded from within through cultural and pedagogical mechanisms. It highlights how fascism today operates through digital technologies, social media, and cultural symbols that normalize cruelty, exclusion, and historical erasure. Culture is depicted not merely as a reflection of society but as an active battlefield where power shapes identities, desires, and common sense. Drawing on thinkers such as Gramsci, Hall, Adorno, and Mujica, the text emphasizes the vital role of culture and education as sites of both domination and resistance. The author critiques left-wing policy for underestimating the cultural dimension of political struggle, warning that without a cultural revolution grounded in solidarity, care, and critical pedagogy, democracy and civic conscience will be lost. The Trump era is portrayed as a manifestation of resurgent fascism marked by cruelty, corruption, and state terrorism, with culture deployed as a “disimagination machine” that sustains authoritarianism. The text concludes with a call to center culture and education in progressive politics, envisioning a transformative cultural politics capable of combating fascism and renewing democratic hope.
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 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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".