Construction Technology Update No. 45 Ensuring
Bibliographic record
Abstract
t. Lawrence and Ottawa valleys pose a moderate hazard, as do parts of the Maritimes. The region around La Mal Baie, Quebec, in the lower St. Lawrence Valley, is one of high seismic hazard, as are small areas in the Yukon and the high Arctic. Seismic hazard maps from the Geological Survey of Canada are contained in the Structural Commentaries of the NBC. Significant earthquakes have occurred in Canada in the 20 th century (e.g., Messina NY -- Cornwall ON 1944, Courtney BC 1946, Miramichi NB 1982, Nahanny NT 1985, Saguenay QC 1988), but either they were not strong enough to cause widespread damage or the epicentre was located in a sparsely populated area. Canadian houses have thus not been "tested" at the predicted level of shaking, and we must By J.H. Rainer and E. Karacabeyli This Update reviews the generally good performance of platform-frame wood housing in earthquakes, presents solutions to some problems that occur in practice, and outlines new developments in technology, stan
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.277 | 0.220 |
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".