Fading Resilience? Creative Destruction, Neoliberalism and Mounting Risks
Bibliographic record
Abstract
The paper argues that creative destruction at the heart of capitalist dynamics, along with risk-prone features of neoliberalism, impedes wide-ranging resilience. A form of resilience focussing narrowly on natural and human-caused disasters replaces broader responses to risks, which address economic and personal hardship. Concurrently, combined effects of neoliberal societal arrangements and economic globalisation exacerbate economic risks to which individuals and communities are exposed. A discussion of the shrinking city phenomenon demonstrates that economic hazards, against which most resilience measures are helpless, represent a peril that is more common than, and often at least as destructive as, the disasters targeted by mainstream resilience approaches. The experience of shrinking cities points to the dual impact of their contracting economies: direct threats to the wellbeing and survival of their residents, and a depletion of the intervention capacity of agencies responsible for different aspects of urban resilience. The paper closes with an examination of realistic means of enhancing resilience in the present neoliberal context.
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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 | 0.005 |
| 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 | 0.067 |
| Scholarly communication | 0.012 | 0.009 |
| Open science | 0.001 | 0.014 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".