Resiliência urbana: aspectos relacionados ao comportamento humano em espaços verdes públicos
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
The presence of public green spaces in urban centers is essential for numerous urban activities, as well as, it is an alternative to mitigate the consequences of the phenomenon of climate change. However, many cities have public green spaces that are degraded, unsecurity and they are often pressured to be removed from the urban structure, as if they were the cause of presented problems. In order, we discuss the importance of green spaces in the urban structure briefly, in addition about the aspects are involved in the human appropriation of these spaces. This text is the result of the post-doctoral internship in psychology in Victoria, Canada and of academic research in bioclimatic architecture, presenting data from Aracaju’ squares (SE), Brazil. Examples are given to elucidate the ideas and discussion are presented. It is concluded that in order to use public green spaces as an action of urban resilience, it is necessary to offer a redefinition of these spaces by human being, changing your perception and your behavior.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.021 |
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