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Record W4200511659 · doi:10.1177/25148486211054932

Extending the boundaries of ‘urban society’: The urban political ecologies and pathologies of Ebola Virus Disease in West Africa

2021· article· en· W4200511659 on OpenAlexafffund
Stefan Treffers, S. Harris Ali, Roger Keil, Mosoka Fallah

Bibliographic record

VenueEnvironment and Planning E Nature and Space · 2021
Typearticle
Languageen
FieldMedicine
TopicViral Infections and Outbreaks Research
Canadian institutionsYork University
FundersInternational Development Research Centre
KeywordsEbola virusOutbreakPoliticsPolitical ecologyContext (archaeology)DiseaseColonialismGeographyDevelopment economicsEnvironmental ethicsPolitical scienceEconomic growthEcologyMedicineBiologyVirologyArchaeologyLawEconomicsPathology

Abstract

fetched live from OpenAlex

A disease outbreak is an emergent product of social and ecological processes. To more fully understand disease outbreaks and their response, we must therefore consider how these dual processes interact in specific locales within the context of an increasingly urbanized world. As such, in this paper we examine the Ebola Virus Disease (EVD) outbreak and its response in West Africa by adopting the lenses of two approaches that are usually treated separately – namely, urban political ecology (UPE) and urban political pathology (UPP). The UPE approach sheds light on how the material/biophysical basis of the EVD outbreak was influenced by the socio-political-economic and vice versa. The UPP approach gives us insight into how the EVD response was influenced by broader socio-political-economic forces, particularly the historical legacy of colonialism. Through the adoption of this dual lens we are able to gain greater insights and a more comprehensive understanding of the EVD outbreak and response in West Africa.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.039
Threshold uncertainty score0.249

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.016
GPT teacher head0.283
Teacher spread0.267 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations15
Published2021
Admission routes2
Has abstractyes

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