The Populist Race: Neoliberalism Falling Behind, New Right Forging Ahead, the Left Stumbling Along
Bibliographic record
Abstract
Abstract This article starts from the observation that recurrent economic crises, deepening social divisions, and rising levels of insecurity undermine the persuasiveness of market populism, which had accompanied, and, indeed, contributed to, the rise of neoliberal capitalism. It goes on to explain left- and right-wing populisms that draw on different aspect of liberal ideas, and can therefore be understood as transformations of market populism to some degree. Politically, right-wing populism, the article argues, thrives because the left is divided along several lines that make it difficult to attract much of today’s discontent. The article looks at the divisions between globalists and sovereigntists, cosmopolitans and communitarians, and identity and class politics, respectively. It concludes with the idea that these divisions reflect different aspects of the unmaking of old working classes advanced by neoliberal restructuring, but also aspects of a possible making of new working classes. To further this, the left should put identity back into class politics, or highlight the presence of class divisions within identity politics.
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 | 0.006 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.049 |
| Scholarly communication | 0.011 | 0.008 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".