Bibliographic record
Abstract
The standardized tapping machine (STM) is a structure-borne noise excitation device, designed to simulate footfall for evaluation of the impact insulation performance of a floor–ceiling assembly, and the resulting Impact Insulation Class (IIC) rating. IIC is used to determine the assembly’s suitability for construction in accordance with the minimum acoustic performance requirements of the International Building Code (IBC), requiring a minimum IIC rating of 50 for floor–ceiling assemblies separating dwelling units. The STM generates structure-borne sound via impacts standardized nominally with effective mass of 500 g, impacting the surface at 0.886 m/s, as specified in ASTM E3458-24. This paper examines if “parasitic noise,” defined as airborne sound generated by the hammers of the STM impacting the surface being tested can affect the IIC rating in an ASTM E492 laboratory test environment. Two enclosures are constructed to contain the radiated noise. ASTM E492 testing is performed on the assembly, followed by tests with enclosures surrounding the tapping machine. To assess proximity and loading effects, tests were repeated with shims under the enclosure and with the enclosure suspended by a crane. Sound pressure levels are measured in both the source and receiver rooms for each configuration.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".