Effects of Noise Pollution on Residents Living in Birzebbuga and the Introduction of Effective Mitigation Measures
Bibliographic record
Abstract
There exists a direct influence of noise pollution on people's quality of life which can lead to several short and long-term health consequences. This paper presents the first phase of a mixed-method study conducted to understand the effects of noise pollution on residents living in Birzebbuga, Malta, followed by a second phase project completed in 2021. A questionnaire was completed by 477 inhabitants to obtain demographic information and data about noise pollution, its influence on residents' activities, and noise source discomfort. The study utilised the International Commission on the Biological Effects of Noise's five-scale technique to quantify noise irritation. The survey took place between February and May 2021. Data reported that in 98% of the participants noise pollution is a problem. 61.6% of respondents reported noise annoyance as the main category of pollution on health and well-being, followed by sleeping disorders and fatigue, stress, nervousness, loss of concentration, headaches and reduced ability to work. Given high levels of noise and the effects on the quality of life of residents, this study concludes that noise reduction regulations are a must, and a permanent sound monitoring network within the district of Birzebbuga is a crucial component for an effective low-noise implementation plan.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| 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) | 0.000 | 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 teacher head, 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".