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From Sustainable to Resilient Cities: Global Concerns and Urban Efforts

2014· other· en· W857968148 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typeother
Languageen
FieldSocial Sciences
TopicUrban and Rural Development Challenges
Canadian institutionsnot available
Fundersnot available
KeywordsResilience (materials science)Environmental planningBusinessGeographyEnvironmental resource managementEnvironmental science

Abstract

fetched live from OpenAlex

Sustainable Cities in Flux: Continuity, Comparisons, and Conceptions. Coping with Natural Disasters and Urban Risk: An Approach to Urban Sustainability from Socio-Environmental Fragmentation and Urban Vulnerability Assessment. Towards Sustainable Urban and Regional Planning: Experiences from the Netherlands. Residential Landscapes, Environmental Sustainability and Climate Change. Urban Crisis Within Environmental and Industrial Policies in Italy: Case of the Steel Industry in Taranto. Sustainable Cities in Post-Soviet Central Asia: Case of Bishkek. Sustainability Challenges and the Spatial Manifestation of Poverty in Megacities of the Global South: Focus on Dhaka, Bangladesh. Smart Growth Machines: Ecological Modernization of Urban Political Economy. Creating New Urban Spaces of Sustainability and Governmentality: An Assessment of the Development of a Food and Urban Agriculture Strategy for Edmonton, Canada. Linea Verde, an Axis Road in Aguascalientes, Mexico. Barriers to Sustainability: Gendered Divisions of Labor in Cuban Urban Agriculture. Do You Know What it Means to Rebuild New Orleans? Cultural Sustainability after Disaster. The World is my Backyard: Romanticization, Thoreauvian Rhetoric, and Constructive Confrontation in the Tiny House Movement. Becoming a European Green Capital: A Way towards Sustainability?. From Sustainability to Resilience: Why Locality Matters. Copyright page. From Sustainable to Resilient Cities: Global Concerns and Urban Efforts. Introduction. List of Contributors. Research in Urban Sociology. From Sustainable to Resilient Cities: Global Concerns and Urban Efforts.

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.

How this classification was reachedexpand

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.087
Threshold uncertainty score0.993

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)0.0080.000

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 head0.015
GPT teacher head0.282
Teacher spread0.268 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations7
Published2014
Admission routes1
Has abstractyes

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