Análise multicritério na definição de vulnerabilidade ambiental
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
Brazil has shown thousands of incidents every year, which the State of Rio Grande do Sul is part of a significant portion that suffers mainly, from disasters related to heavy rainfalls. Thus, this paper presents a diagnostic of the urban area's vulnerability as regards landslides in the medium city of Santa Maria, located in the central area of the State. To determine the degree of vulnerability it was applied remote sensing, GIS, geoprocessing, and multicriteria decision analysis. By means of thematic maps of hypsometry, slope, pedology, and soil use, it was applied to the algebra operation of maps and analytic hierarchy process. As a result, it was obtained the levels of potential environmental fragility (FAP) and emerging environmental fragility (FAE). It was concluded that although less than 15% of urban or no urbanized areas are in hazardous areas, the urban perimeter is mostly in transitional areas and preventive measures should be implemented to avoid possible disruption of stability.
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) | 0.010 | 0.005 |
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