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Record W7075337826

Water Services, Lived Citizenship, and Notions of the State in Marginalised Urban Spaces : the case of Khayelitsha, South Africa

2018· article· en· W7075337826 on OpenAlexaff

Bibliographic record

VenuecIRcle (University of British Columbia) · 2018
Typearticle
Languageen
FieldMedicine
TopicPrenatal Screening and Diagnostics
Canadian institutionsUniversity of British Columbia
FundersUniversity of the Western Cape
KeywordsState (computer science)Government (linguistics)PopulationProcess (computing)Filter (signal processing)Payment
DOInot available

Abstract

fetched live from OpenAlex

In this paper we argue that in South Africa the state is understood and narrated in multiple ways, notably differentiated by interactions with service provision infrastructure and the ongoing housing formalisation process. We trace various contested narratives of the state and of citizenship that emerge from interactions with urban water service infrastructures. In effect, the housing formalisation process rolls out through specific physical infrastructures, including, but not limited to, water services (pipes, taps, water meters). These infrastructures bring with them particular logics and expectations that contribute to a sense of enfranchisement and associated benefits to some residents, while others continue to experience inadequate services, and linked exclusions. More specifically, we learn that residents who have received newly built homes replacing shack dwellings in the process of formalisation more often narrate the state as legitimate, stemming from the government role as service provider. Somewhat surprisingly, these residents at times also suggest compliance with obligations and expectations for payment for water and responsible water consumption. In contrast, shack dwellers more often characterise the state as uncooperative and neglectful, accenting state failure to incorporate alternative views of what constitutes appropriate services. With an interest in political ecologies of the state and water services infrastructures, this paper traces the dynamic processes through which states and citizenship are mutually and relationally understood, and dynamically evolving. As such, the analysis offers insights for ongoing state-society negotiations in relation to changing infrastructure access in a transitioning democracy.

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)0.003
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 score0.032
Threshold uncertainty score0.064

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0170.031
Scholarly communication0.0050.006
Open science0.0010.008
Research integrity0.0020.002
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 head0.012
GPT teacher head0.186
Teacher spread0.174 · 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

Citations26
Published2018
Admission routes1
Has abstractyes

Explore more

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