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Record W2944651689 · doi:10.1080/17565529.2019.1609402

When Anthropocene shocks contest conventional mentalities: a case study from Cape Town

2019· article· en· W2944651689 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueClimate and Development · 2019
Typearticle
Languageen
FieldEnvironmental Science
TopicSustainability and Climate Change Governance
Canadian institutionsUniversité de MontréalInternational Centre for Comparative Criminology
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsAnthropoceneReflexivityContext (archaeology)GovernmentalityCONTESTSociologyResilience (materials science)Psychological resilienceCapeEnvironmental ethicsClimate changePolitical scienceHistorySocial sciencePsychologyArchaeologySocial psychologyPoliticsLawEcology

Abstract

fetched live from OpenAlex

Under conditions of protracted reduction in supply and heightened uncertainty, one of the notable responses to the Cape Town drought (2016–2018), was the proliferation of ‘water resilience’ in public and private discourses. Resilience was employed as an explanatory concept and governing tool, signalling a professed transition in the municipality’s understandings to an altered climate episteme – or what they have called, a ‘New Normal’. This article focuses on how public framings of resilience were used by the City of Cape Town to signal divorce from conventional approaches to climate and water. It contrasts conventional framings of a Holocene world, with those of a posited ‘mentality of the Anthropocene’ in order to elaborate this ostensible shift in mentality. Although this case study illustrates how public governors are finding utility in resilience as a term to facilitate explanation of their operating context, decisions and responses, contested and transitional mentalities elaborate why the municipality initially failed to anticipate, perceive and respond the drought. This article thereby highlights the cognitive tensions and practical challenges of transition for professionals patterned by conventional techno-managerial approaches, to a way of thinking more in line with reflexive and adaptive approaches anticipated to be necessary in an Anthropocene world.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.535
Threshold uncertainty score0.980

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0210.000

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 head0.023
GPT teacher head0.254
Teacher spread0.231 · 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