Impact noise annoyance amongst seniors aging in place
Bibliographic record
Abstract
The demographics of countries such as Canada and Japan continue to shift to a higher percentage of seniors and many of those seniors prefer to age in place in their own homes or communities. An important aspect of aging in place includes staying healthy and the acoustic environment of the dwelling plays a role. The preference to age in place coupled with increasing densification of city centers means that many people will be aging in place in multi-tenancy dwellings. Different people show different degrees of annoyance due to neighbor noise, especially impact noise and it is desirable to include limits on impact noise that consider those aging in place in the acoustic requirements of building codes. This paper describes a collaboration between the National Research Council Canada and the National Institute of Advanced Industrial Science and Technology to evaluate the living comfort of the acoustical environment for the elderly population. The study will evaluate the subjective annoyance of elderly participants in comparison to the general population. The results of the evaluations are expected to reveal the annoyance levels in aging populations due to impact noise to develop a regulatory framework for the sound quality of residential dwellings in age-friendly communities.
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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 | 0.000 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".