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Record W3153589957 · doi:10.35483/acsa.intl.2016.18

New Orleans: A Model 21st Century Cross-American Water City?

2016· article· en· W3153589957 on OpenAlexfundno aff
Derek Hoeferlin

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldSocial Sciences
TopicWater Governance and Infrastructure
Canadian institutionsnot available
FundersUniversity of TorontoWashington University in St. Louis
KeywordsLandfallNatural disasterStatus quoHurricane katrinaPolitical scienceStormCorporate governancePort (circuit theory)Environmental justiceEnvironmental planningPublic administrationEngineeringGeographyManagementEconomicsLawMeteorology

Abstract

fetched live from OpenAlex

Much has been accomplished – and much debated– since Hurricane Katrina made landfall outside of New Orleans in 2005. There have been many successes – and many failures – in regards to the recovery, rebuilding and resiliency of the unique“Cross-American” port city. Social, economic and environmental justice issues have been brought to the forefront, in the wake of an unprecedented human-altered “natural” disaster. This paper will not attempt to regurgitate what has been critiqued and promulgated about New Orleans in relation to status quo rebuilding. Rather, the paper will focus on water management demands, efforts and proposals since the storm; and, how these water-centric efforts have challenged existing decision-making regimes, in turn advocating for new governance partnerships, funding streams and integrative design methodologies.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.780
Threshold uncertainty score1.000

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 communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.014
GPT teacher head0.285
Teacher spread0.271 · 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
GenreEmpirical

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

Citations0
Published2016
Admission routes1
Has abstractyes

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