ENVIRONMENTAL ANALYSIS OF THE LOWER CAMAQUÃ RIVER WATERSHED (BRAZIL) — A STUDY OF PLANNING AND ENVIRONMENTAL EDUCATION
Bibliographic record
Abstract
The Lower Camaquã River Watershed is settled within two major geologic systems: the Pre-Cambrian basement and the Southern Brazilian Coastal Plain. Geological, environmental and socio-economic characteristics of this section of the watershed provide a heterogeneous landscape mosaic of interconnected natural and anthropic elements. In this work, the Sapato Creek watershed is used as a case study for an environmental analysis of the Lower Camaquã system. Landscape elements were identified, described and modelled as a way to understand their structure and dynamics. Satellite images (1:100,000) and field checking were utilised in the characterisation of the landscape elements and identification of land use categories. The results supported the characterisation of the structural and functional organisation of the watershed, potential impacts and the suitability of land use for the system. A conceptual methodological strategy is presented as an effective tool for transferring the recommendations produced in this work to decision-makers directly involved with environmental management in the region. The strategy relies on the interaction between scientists, decision-makers and watershed stakeholders to foster the identification of possible educational actions that could lead to a rational use of land and natural resources in the watershed.
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How this classification was reachedexpand
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 | 0.001 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".