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Record W2530306818

The Centrality of the “Mediation” Concept in the Participatory Management of Water Resources

2005· article· en· W2530306818 on OpenAlexvenueno aff
Irenilda Ângela dos Santos, Christian Niel Berlinck, Symone Christine de Santana Araújo, Ercília Torres Steinke, Valdir Adilson Steinke, Taissa Ferreira Pianta, Ivete Teresinha Graebner, Carlos Hiroo Saito

Bibliographic record

VenueCanadian journal of environmental education · 2005
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental Sustainability and Education
Canadian institutionsnot available
Fundersnot available
KeywordsEnvironmental educationRationalityEmpowermentMediationCitizen journalismParticipatory action researchConstruct (python library)Water resourcesSociologyCentralityCommissionAction researchWork (physics)Environmental planningIntegrated water resources managementPopulationPolitical scienceEnvironmental resource managementPedagogySocial scienceGeographyEngineeringEcologyEnvironmental scienceLaw
DOInot available

Abstract

fetched live from OpenAlex

This work presents questions related to the viability and the requirements for the implementation of a National Policy of Water Resources in Brazil, and identifies the means to bring about active participation by the population in the management of water resources. While social inequalities may be an impediment to the implementation of full participation, it is argued that facing the problems related to participatory management of water resources is to be dealt with in the field of rationality, and mediation has been chosen as the central theoretical construct to guide the process of environmental education and empowerment through action research. Examples of formal and non-formal environmental education activities are brought from actions developed closely with the Commission for Water Basin Committee of High Maranhao River, Central Brazil.

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)0.042
metaresearch head score (Gemma)0.028
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.042
Threshold uncertainty score0.223

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0420.028
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0090.089
Scholarly communication0.0100.013
Open science0.0020.013
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0030.000

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 head0.216
Teacher spread0.209 · 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

Citations6
Published2005
Admission routes1
Has abstractyes

Explore more

Same venueCanadian journal of environmental educationSame topicEnvironmental Sustainability and EducationFrench-language works237,207