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Record W2146123710 · doi:10.5539/enrr.v4n3p1

Brazil’s Commitment to Train the Next Generation of Water Leaders: the Potential Role of UNESCO-Hidroex

2014· article· en· W2146123710 on OpenAlexvenueno aff
Octavio Elisio A. Brito, Tania A. S. Brito, Richard A. Meganck

Bibliographic record

VenueEnvironment and Natural Resources Research · 2014
Typearticle
Languageen
FieldEngineering
TopicWater resources management and optimization
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)Political scienceExcellenceCenter of excellenceWork (physics)PortugueseInstitutionPublic relationsErasmus+Higher educationSociologyBusinessEnvironmental planningEngineeringGeography

Abstract

fetched live from OpenAlex

Brazil has made a strategic decision and formal commitment to the International Community to invest in developing a post-graduate water education center to help train the next generation of water leaders in Latin America and Portuguese-speaking Africa in response to the demand of the UNESCO Member States. The International Centre for Education, Capacity Building and Applied Water Research – Hidroex will, overtime, greatly augment the work of the UNESCO Institute for Water Education (UNESCO-IHE) in Delft, the Netherlands as a member-institution of the proposed UNESCO Global Campus for Water Education. This center of excellence will also develop a new institutional model in two regards: first by implementing the concept of a “water condominium” which will attract scientists from around the world sharing a common research interest providing logistical support including laboratories, analytical capacity, video conference facilities and offices – all with the aim of addressing complex, priority water research issues, and resulting in new networks of collaborating scientists, and secondly by integrating the goals of eighth phase of the UNESCO International Hydrological Program into the education and research programs of Hidroex to develop the environmental conscience of all citizens – from young children to the highest level of technical knowledge – within an appropriate cultural context. This paper documents the institutional roadmap, logic and progress in realizing that ambitious goal.

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)0.001
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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.451
Threshold uncertainty score0.219

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0000.000

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 head0.037
GPT teacher head0.250
Teacher spread0.213 · 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 designSimulation or modeling
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
Published2014
Admission routes1
Has abstractyes

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