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Record W7053485143

Water justice will not be televised: Moral advocacy and the struggle for transformative remunicipalisation in Jakarta

2019· article· en· W7053485143 on OpenAlexfundno aff

Bibliographic record

VenueGreenwich Academic Literature Archive (University of Greenwich) · 2019
Typearticle
Languageen
FieldEngineering
TopicLaser Design and Applications
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of CanadaIndependent Social Research Foundation
KeywordsTransformative learningEconomic JusticeNormativeLegitimacyReinterpretationAction (physics)
DOInot available

Abstract

fetched live from OpenAlex

Aiming to advance our understanding of the transformative potential of remunicipalisation, this paper looks at the uncertain and unequal struggle for water remunicipalisation in Jakarta over the last twenty years and offers an ontological account of the discourse on the human right to water as a catalyst for progressive policy change. A first, formal definition of transformative remunicipalisation is herein offered. This is defined as an ideal-type of water remunicipalisation whose institutional legitimacy rests on the moral advocacy of emancipatory insurgency, and whose implementation offers concrete possibilities of progress towards emancipatory objectives. As regards moral advocacy and collective action, the hybridisation of emancipatory discourse enables to transcend the limitations of the Western origin of the concept of the human right to water. By drawing on cross-cultural principles like water as life and the primacy of human flourishing, the proponents of transformative remunicipalisation may turn the human right to water into a powerful discursive resource responding to Southern if not universal logics of appropriateness. While water justice is the terrain of inevitable contestation, the tensions between the normative ideals of collective action and the practice of advocacy require the constant reinterpretation of these ideals. This is why water justice will not be televised.

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.611
Threshold uncertainty score0.706

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 integrity0.0000.001
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 head0.013
GPT teacher head0.203
Teacher spread0.190 · 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 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

Citations0
Published2019
Admission routes1
Has abstractyes

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