Case Studies: Effect of Fasteners Bridging Resilient Channels on AIIC Performance in Wood-Framed Condominiums
Bibliographic record
Abstract
This paper presents a case study of a wood-framed condominium project where the fasteners affixing ceiling drywall bridged resilient channels thus negating their function. There were no other construction defects. Complaints were raised by occupants/owners at the time of the one year performance audit required by the Tarion Warranty Program in Ontario Canada. “Mini impact tests” were done in all units, using average reverberation times to expedite measurement collection and post processing. Ceilings were cut open to count the number of bridging fasteners. A strong correlation was found between the percentage of resilient channel / floor joist intersections with bridging fasteners, and the AIIC scores. This allowed for clear identification of all defective ceilings, which were then taken down and reinstated, subsequently achieving AIIC scores consistent with the design intent. A second case study is presented for a similar wood-framed condominium project, where a similar relationship between the percentage of resilient channel / floor joist intersections with errant fasters and the AIIC score was found.
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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 | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".