Mapeamento das áreas suscetÃveis a escorregamentos em Blumenau - SC, utilizando Sistema de Informações Geográficas
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
Damages and fatal victims of natural disasters, represent worldwide economic and social costs of great amount. In Brazil, landslides are the most frequent natural disasters causing greater damages. In the city of Blumenau, in southern Brazil, the expansion of the urban zone, due to rapidly growing population, leads to illegal occupation of hillsides, especially by the low income population, contributing to the formation of areas of social exclusion, in which the landslides tend to be more frequent. The present works aims to identify and map landslide risk areas in the Velha Grande quarter in Blumenau-SC, by a multidiscipline team, in order to integrate geologic, geotechnical, hydrological, vegetation cover and land use data, besides social and economic data. The studys proposal is to assist land use and urban planning and prevention measures.
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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it