Bibliographic record
Abstract
The mid and late 2000s witnessed a proliferation of political parties in European party systems. Marxist, Libertarian, Pirate, and Animal parties, as well as radical-right and populist parties, have become part of an increasingly heterogeneous political spectrum generally dominated by the mainstream centre-left and centre-right. The question this article explores is what led to the surge of these parties during the first decade of the 21st century. While it is tempting to look at structural arguments or the recent late-2000s financial crisis to explain this proliferation, the emergence of these parties predates the debt-crisis and can not be described by structural shifts alone . This paper argues that the proliferation of new radical parties came about not only as a result of changes in the political space, but rather due to the very perceived presence and even strengthening of what Katz and Mair (1995) famously dubbed the "cartelization" of mainstream political parties.
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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 | 0.002 | 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 | 0.000 | 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".