Bibliographic record
Abstract
The purpose of this study was to perform computer-assisted noise mapping of an educational environment. The computer simulations were performed using SoundPLAN software. An analysis of the acoustic maps generated by the simulations indicates that contributions to the noise levels found on the campus originate mostly from three streets on campus, as well as from the roads surrounding the outer perimeter – the Green Line and the BR-277 highway. The computer-generated acoustic maps show that the noise levels within the campus exceed the limit of Leq = 50 dB(A) established for educational areas, according to the Brazilian standard for noise assessment in communities. Therefore, the noise maps indicate a critical situation of noise pollution on campus. However, despite this negative and concerning situation of noise pollution, the acoustic maps also reveal several “islands of acoustic tranquility” on campus. These “islands” can be observed adjacent to buildings where sound levels range from 45 to 48 dB(A) and from 48 to 51 dB(A), which are indicated in green tones on the acoustic maps.
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.
How this classification was reachedexpand
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) | 0.006 | 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 itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".