Analysis of attitudinal response to audible noise from high voltage transmission lines and transformer station
Bibliographic record
Abstract
Procedures for statistical analysis of audible noise from 550 and 735 kV transmission lines and a 735 kV transformer station are discussed.The research also entails psycho-acoustic testing of people to determine attitudinal response to this form of noise as compared to other environmental noises.The evaluation of sub jective response to corona noise in a laboratory environment are also discussed.A Participation Program between the Canadian Electrical Association, the American Electric Power Service Corporation and the National Bureau of Standards in Washington is outlined. SOMMAIRELes procédures pour l'analyse statistique du bruit audible des lignes de transmission électriques de 550 et 735 kV et d'une station de transformateur de 735 kV sont discutées.La recherche fait également intervenir des tests psycho-acoustique faites sur des personnes pour déterminer le comportement et l'attitude de ces gens face à ces sources de bruit par rapport à d'autres sources de bruit environnementales connues.Les éval uations de la réponse subjective au bruit de corona dans un environnement de laboratoire sont également discutées.Un programme de participation entre "Canadian Electrical Association", "American Electrical Power Service Corporation" et le Bureau des Normes à Washington est aussi décrit.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".