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Record W2104715151 · doi:10.1080/08941920.2012.685146

Integrating Water Management in the Anthropocene

2012· article· en· W2104715151 on OpenAlexaff
Jeremy J. Schmidt

Bibliographic record

VenueSociety & Natural Resources · 2012
Typearticle
Languageen
FieldEngineering
TopicWater resources management and optimization
Canadian institutionsWestern University
Fundersnot available
KeywordsAnthropoceneCorporate governanceIntegrated water resources managementPoliticsDecentralizationDeclarationPolitical scienceEnvironmental ethicsPrudenceEnvironmental resource managementSustainabilityEnvironmental planningPublic administrationBusinessWater resourcesEconomicsEpistemologyLawGeographyEcologyBiology

Abstract

fetched live from OpenAlex

Integrated water resources management (IWRM) has been the dominant discursive frame for global water governance since the 1992 Rio Declaration. Yet it is increasingly criticized as inadequately incorporating ethical or political contexts in governance coordination. This policy review considers the two main iterations of IWRM: rational planning and economic decentralization. It recasts the claimed “failings” of IWRM with respect to each by arguing that governance programs need to internalize the notion that we live in the Anthropocene, wherein humans are understood as major drivers of planetary systems. This requires keeping both technical and ethical-political contexts at the fore of water governance.

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)0.003
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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.005
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.007
Scholarly communication0.0050.005
Open science0.0010.004
Research integrity0.0020.001
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 head0.007
GPT teacher head0.212
Teacher spread0.205 · 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 designTheoretical or conceptual
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

Citations11
Published2012
Admission routes1
Has abstractyes

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