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Record W1676849681

Fading Resilience? Creative Destruction, Neoliberalism and Mounting Risks

2014· article· en· W1676849681 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueOpenEdition (OpenEdition) · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicUrbanization and City Planning
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsNeoliberalism (international relations)Resilience (materials science)Creative destructionFadingSociologyPolitical sciencePolitical economyEconomicsEngineeringNeoclassical economicsTelecommunicationsPhysics
DOInot available

Abstract

fetched live from OpenAlex

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.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.912
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0010.008
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.028
GPT teacher head0.291
Teacher spread0.264 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it