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Record W2901209504 · doi:10.15367/kf.v5i2.210

A Precarious Confluence: Neoliberalism, Race, and Water Insecurity

2018· article· en· W2901209504 on OpenAlexaboutno aff
Michael Mascarenhas

Bibliographic record

VenueKalfou A Journal of Comparative and Relational Ethnic Studies · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicWater Governance and Infrastructure
Canadian institutionsnot available
Fundersnot available
KeywordsNeoliberalism (international relations)GlobeRacismIdeologyIndigenousPoliticsRace (biology)Political economyEnvironmental justiceSociologyPower (physics)Political scienceGender studiesLawEcology

Abstract

fetched live from OpenAlex

Three very different field sites—First Nations communities in Canada, water charities in the Global South, and the US cities of Flint and Detroit, Michigan—point to the increasing precariousness of water access for historically marginalized groups, including Indigenous peoples, African Americans, and people of color around the globe. This multi-sited ethnography underscores a common theme: power and racism lie deep in the core of today’s global water crisis. These cases reveal the concrete mechanisms, strategies, and interconnections that are galvanized by the economic, political, and racial projects of neoliberalism. In this sense neoliberalism is not only downsizing democracy but also creating both the material and ideological forces for a new form of discrimination in the provision of drinking water around the globe. These cases suggest that contemporary notions of environmental and social justice will largely hinge on how we come to think about water in the twenty-first century.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.024
Scholarly communication0.0040.005
Open science0.0000.004
Research integrity0.0010.001
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 head0.108
GPT teacher head0.401
Teacher spread0.293 · 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 source (direct Gemma or distilled Codex), not a consensus.

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

Citations4
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueKalfou A Journal of Comparative and Relational Ethnic StudiesSame topicWater Governance and InfrastructureFrench-language works237,207