Aviation Environmental Engineer
Bibliographic record
Abstract
In May 1996, Transport Canada (TC) issued an amendment to Part IV (Aircraft Noise) of its TP 1247 guidelines entitled “Land Use in the Vicinity of Airports”. TP 1247 is published by TC to familiarize planners and legislators with the operational characteristics of airports which may influence land use outside the airport property boundary. Its purpose is to recommend * where applicable, guidelines to ensure that land use is compatible with airport operations. Land zoning is a provincial responsibility which is delegated to local authorities. Consequently, local planning authorities are not bound by TP 1247. This paper will describe this amendment which clarifies TC’s opposition to the construction of new residential development between Noise Exposure Forecast (NEF) 30 and 35. TC has clarified the Land Use Table and the text of Part IV of TP 1247 to recommend that construction of new residential development between NEF 30 and 35 not be undertaken and has emphasized the decision making role of local authorities. In 1992, TC commissioned the National Research Council of Canada (NRC) to assess the validity of the NEF measure and the results of the NRC study support this amendment. This clarification will help protect both the public and airports without making TP 1247 overly restrictive. SOMMAIRE
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.108 | 0.037 |
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".