Bibliographic record
Abstract
Anti-intellectualism and political illiteracy are sweeping across the American media and cultural landscape, giving rise to discourses that are unabashedly nativist, racist, and reactionary. Populist sentiments drive the rabid individualism and anti-government rhetoric of right-wing groups such as the Tea Party movement. Underlying these sentiments is not simply religious or libertarian ideology, but an insidious neoliberal, pro-corporate agenda that supports deregulated capitalism and the demise of the social state. As anti-intellectualism spreads in the media and political spheres, Americans increasingly accept as a principle of governance the reality of living in a Darwinist, survival-of-the-fittest world. If democracy is going to have a future in the United States, critical education and universities as democratic public spheres need to be defended and expanded in order to resist a growing wave of anti-intellectualism that heralds the disappearance of the critical intellectual, the depoliticization and reduction of civic responsibility to banal acts of production and consumption, and the rise of the punishing state and a culture of cruelty that abandon racial minorities, the unemployed, sick, elderly and poor to lives of violence, hardship, despair, and insecurity.
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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 | 0.005 | 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 | 0.059 |
| Scholarly communication | 0.008 | 0.010 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.003 | 0.008 |
| 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".