Análise dos níveis de poluição visual presente na cidade de Sorocaba e intervenção educativa na Escola Estadual Senador Vergueiro
Bibliographic record
Abstract
2.Abstract Visual pollution is the excess of on elements to the visual communication, as posters, announcements and plates presents mainly in the great metropolises. The visual pollution reaches the population in such a way how much the environment, in such a way, this work aims at to identify to the levels of visual pollution presents in the city of “Sorocaba”, in its main regions, giving emphasis to the Center, as source of space and visual discomfort of the passer-bys, showing that the main problem is not the existence of the marketing and yes its uncontrols. As half of general awareness of the population, one brief interview with the passer-bys was made there presents regarding the subject. They had been registered through photographs, some areas with focus of visual pollution. From the analysis made with the public and of photographs taken off in the main points of the city, it can be perceived that the result was negative, therefore the inhabitants believe that the excess of propagandas does not affect in nothing, not to be as consumerism source. With this we could conclude that the population does not possess necessary information regarding the subject. In the second stage of the project, applications of questionnaires for the students of the eighth series of Basic Education had been made, of the “Escola Estadual Senador Vergueiro” , located in the quarter “Vila Hortencia”, and thus, could observe, by means of graphs, that the students are informed about what is the visual pollution, but not of the legislation existence that speaks to the respect. After that, an educative intervention was carried through, informing to the same ones, through a lecture, on causes and effect of the excess of visual communication gifts in the way where we live. Keys-Words: Visual pollution, consumerism, visual communication, informative lecture.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".