Análise da cobertura arbórea, fragmentos e conexões no distrito São Domingos (São Paulo, Brasil)
Bibliographic record
Abstract
The disorderly growth of urban areas, due to speculation and lack of planning that takes into account the dynamics of ecosystems, is one of the biggest factors that lead to fragmentation of natural habitats. In regard to the connectivity of the environment, an important factor for improving local environmental quality by promoting the increased resilience of the urban ecosystem, this study aimed to map out a diagnosis of the use and occupation of land, with an emphasis on vegetation, as well as possibilities connection between forest fragments, especially the City of Toronto and São Domingos Parks, in São Domingos District, SP. The method used in this research was based on photointerpretation, from satellite images of 2007, where we founded existing and potential areas for a network connection between the large vegetated areas in the urban fabric in our study area. We conclude that, the connection between the existing fragments will allow the construction of a large network favoring considerable increase biodiversity. Furthermore, the methodology used here can be adopted in projects aimed at tracing strategies for interconnection of vegetation in another urban areas.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 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 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".