Geoenvironmental Mapping for the Delimitation of Regulated Areas for Use and Occupation
Bibliographic record
Abstract
The pressure constantly increases for the use and occupation of unexplored areas, concomitantly degrading natural resources. On the other hand, national, state, and municipal laws have arisen to regulate and preserve sites for environmental sustainability, such as Areas of Permanent Preservation (APP) and Legal Reserves. Nevertheless, the significant territorial extension and the multiple legislation make it difficult to define these areas. A relevant instrument to solve this issue is the geoenvironmental mapping of the territory. This work sought to delimit effectively regulated areas for use and occupation based on the geoenvironmental mapping of a section of the municipality of Ubajara, Ceará. Therefore, it was necessary to analyze the hypsometry, slope, water resource, and soil and delimit the APP and Conservation Units. The mapping revealed 15.67% of APP and 37.44% of use and occupation areas, being 46.88% effectively regulated for the use and occupation of the soil with diverse economic activities – such as agricultural, forestry, and pastoral-contemplated in the Ubajara master plan.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".