Bibliographic record
Abstract
A summary of the environmental noise standards and guidelines that are currently in use in Canada is described. The Canadian Standards Association (CSA) administers a number of standards dealing directly with environmental noise. There is an ongoing activity to endorse or adopt the standards prepared by other organizations for use in Canadian context. Input was received from members of the environmental Noise Subcommittee of the Z107 Technical committee of the CSA. The environmental noise standards that are currently in use include CAN/CSA- ISO 1996-1, CAN/CSA- ISO 1996-2, CAN/CSA- ISO 1996-3, CAN/CSA-Z107.55-M86, ISO 9631-1, ISO 9631-2, ISO-4872, and SAE J1096. The ISO 2922 standard is related to the measurement of noise emitted by vessels on island waterway and harbors. The CAN3-Z107.54-M85 (R1993) standard is related to the procedure for the measurement of sound and vibration due to blasting operations.
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 | 0.014 | 0.033 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.009 | 0.015 |
| Science and technology studies | 0.008 | 0.003 |
| Scholarly communication | 0.010 | 0.003 |
| Open science | 0.005 | 0.003 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.013 | 0.007 |
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".