Noise Regulation at the Ontario Ministry of the Environment and Climate Change
Bibliographic record
Abstract
Provincial regulation of noise and vibration in Ontario is carried out by a small and diverse group of engineers working for the Ministry of the Environment and Climate Change, in the Environmental Approvals Branch. Their primary activity is the review of the noise aspects of Air and Noise ECAs (Environmental Compliance Approvals) for industrial installations. Several noise engineers are also dedicated to the REA (Renewable Energy Approval) process, primarily related to wind and solar farms. Additional duties include review of Environmental Assessments, investigation of noise complaints, testifying at hearings, and clarification of the provincial noise guidelines, especially as used by some municipalities. Although dealing with noise issues around land use approvals was transferred to the municipalities over 10 years ago, the noise engineers stepped up when the Ministry received a request from three levels of government to become involved in the Toronto Waterfront Revitalization effort and were successful in resolving a serious noise-based conflict between developers and a significant industry. Since the Ministry does not have a separate agency for formulating noise policy, such as exists for air contaminants, the noise engineers also play a large role in implementing policy changes. Recently the noise group, in coordination with the noise consulting community, the development sector, municipalities and private citizens, completed the first major revision of the MOECC’s noise guidelines in 20 years.
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 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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.017 | 0.002 |
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".