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Record W7095687267

Aviation Environmental Engineer

2016· article· en· W7095687267 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldArts and Humanities
TopicMedieval Architecture and Archaeology
Canadian institutionsnot available
Fundersnot available
KeywordsZoningOpposition (politics)AviationLand-use planningLand useTable (database)Public participation
DOInot available

Abstract

fetched live from OpenAlex

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

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.978
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0280.001

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.

Opus teacher head0.009
GPT teacher head0.166
Teacher spread0.157 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2016
Admission routes1
Has abstractyes

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