Experience and knowledge on conflict negotiation and environmental justice in San Francisco river, Minas Gerais State, Brazil: the Institutional Cooperative net on fish mortality - a case study
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.
Bibliographic record
Abstract
This article refers to a case study about the Inter-institutional Net of Cooperatives, Research Action and Fish Mortality Monitoring in The Medium SanFrancisco River. This Inter-institutional Net on Fish Mortality was created in 2005 during the implementation of the Brazil/Canada Project: Inland Fishery - Sustainable Livelihoods and Conservation. This text describes the research action process developed in the creation of the Net, and also, the main aims and results achieved since the beginning of the work implementing a collaborative negotiation of the environmental conflict involved in this article: artisan fishers of The San Francisco River and their environment, impacted by heavy metal contamination in the area influenced by The Zinc Processing Industry - Votorantin Metal Group - at Três Marias municipality. The inequality of political and economic power and the participation in the decisionmaking process among the stakeholders involved (industry; governments; artisan fishers, NGOs and universities) confirm the academic literature about the importance to develop empowerment and equity in the co-management process, so as to guarantee environmental and social justice on this and another similar social-environmental system contexts.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it