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Record W2325798100 · doi:10.2166/wp.2013.016

Tools for the implementation of integrated water resources management (IWRM) in the Caribbean

2013· article· en· W2325798100 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueWater Policy · 2013
Typearticle
Languageen
FieldEnvironmental Science
TopicWater-Energy-Food Nexus Studies
Canadian institutionsMcGill University
Fundersnot available
KeywordsIntegrated water resources managementProcess (computing)Capacity buildingWater resourcesEnvironmental resource managementProcess managementPolitical scienceEnvironmental planningBusinessGeographyEnvironmental scienceComputer scienceEcology

Abstract

fetched live from OpenAlex

While many countries and regional authorities in the Caribbean have embraced the concept of integrated water resources management (IWRM) and recognized its guiding principles as beneficial, few have possessed the capacity to implement it since its enunciation in the Dublin Principles of 1992. The Caribbean Water Initiative (CARIWIN) endeavoured over a 6-year period, 2006–2012, to build capacity in a collaborative process with national governments and regional and international agencies. The result of this collaborative process was the selection of three Caribbean-specific tools to support the implementation of the key components of IWRM. These tools were National Water Information Systems, the Caribbean Drought and Precipitation Monitoring Network, and Community Water Strategies. This paper describes these three tools and the process promoted through CARIWIN for their successful adoption and implementation, i.e. a program including professional development, institutional partnerships, research, and dissemination of knowledge.

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.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.339
Threshold uncertainty score0.960

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.017
GPT teacher head0.256
Teacher spread0.239 · 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