Elusive equalities and the Great Recession: restoration, retrenchment and redistribution
Bibliographic record
Abstract
Abstract The 2008 global financial meltdown, commonly called the ‘Great Recession’, was the most serious crisis in capitalism since the Great Depression of the 1930s, and a fundamental repudiation of neoliberal governing assumptions. This paper focuses on the contexts that informed two governmental responses to this economic crisis — restoration and retrenchment through public austerity. It explains that these responses were contingent, experimental, inequitable and, in the end, unsuccessful. Restoration and retrenchment, however, were entirely consistent with previous neoliberal crisis-responses and the abiding ambitions of this governing project. As the economic crisis crawled into the second half of a decade, the idea of inequality was increasingly identified as an underlying cause of crisis and its amelioration as a necessary part of rebuilding economies and communities in a post-crisis era. The paper tracks the case for the revival of equality politics and policies in the early twenty-first century.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.027 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 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".