The heartlands of neoliberalism and the rise of the austerity state
Bibliographic record
Abstract
adopts a regulation- and state-theoretical variegated capitalism approach to the genealogy and subsequent development of neoliberalism. It distinguishes four kinds of neoliberal project: post-socialist system transformation, principled neoliberal regime shifts, pragmatic neoliberal policy adjustment, and neoliberal structural adjustment regimes. The heartlands of neoliberalism are characterized by principled neoliberal regime shifts, typified by the USA and UK but with variations in Canada, Eire, Australia, New Zealand, and Iceland. I consider the periodization of neoliberal regime shifts in the USA and UK and comment on similarities and differences with other cases. I then consider the extent to which pragmatic neoliberal policy adjustments can cumulate, over time, through ratchet-like effects, to produce de facto rather than principled neoliberal regime shifts. Here I also consider two cases – the Federal Republic of Germany, in which neoliberal policy adjustments serve a neo-mercantilist economic strategy but have consolidated into a more neoliberal regime shift, and Sweden, where a glass half-full, glass half-empty ambivalence exists as a result of the steady cumulation of neoliberal policy adjustments but much of the Swedish social democratic model has been retained. Finally, I consider the implications of neoliberal regime shifts in the heartlands in terms of (1) core-periphery relations within the heartlands themselves, associated with intensified uneven development and (2) the repercussions of neoliberal regime shifts in the heartlands for the overall dynamic of a world market organized in the shadow of neoliberalism.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.028 |
| Scholarly communication | 0.008 | 0.007 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.005 |
| 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".