Sounds of the Cosmos : Conversation between the sonic dynamics and soundscape approaches to noise in downtown Vancouver
Bibliographic record
Abstract
Landscape has a long history of visual art and visual orientation. It is often challenging for people to detect the presence of auditory perception due to the preferred habits of the way people perceive the environment. However, sound can evoke a sense of being and place which is strongly related to our visual experience. With the process of urbanization, introduced anthropogenic noise has affected urban development patterns in Vancouver. The cacophony of traffic is the natural background noise of the city which is inevitable and largely accepted tumult, having a substantial effect on health and well-being. Noise complaints become one of the biggest issues in Vancouver and urban soundscapes have been seen as nuisances deserving of noise control. This thesis explores the natural and social relationships between soundscape and landscape architecture to confront our perceptions of the acoustic environment, and to improve urban soundscape and multi-sensorial experiences by exploring soundscape approaches to noise. By exploring sounds and amplifying the perceptions of the acoustic environment, this project provides an emotionally shared communal public space with a healthy soundscape for Harbour Green Park in downtown Vancouver.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.025 | 0.008 |
| Scholarly communication | 0.007 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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".