Bibliographic record
Abstract
This report provides a historical analysis of the spatial separation requirements in the National Building Code of Canada (NBC), focusing on the development of Articles 3.2.3.1. and 3.2.3.2., Tables 3.2.3.1.-A to 3.2.3.1.-E in Part 3 and Articles 9.10.15.1. to 9.10.15.4., Tables 9.10.14.4.-A and 9.10.15.4. in Part 9 of Division B. The analysis is primarily focused on the 1958 St. Lawrence Burn Tests, particularly the fire tests conducted on Building Nos. 4 and 5, which established foundational data for radiant heat exposure and incident heat flux that formed the basis of these requirements. The report documents the development of the spatial separation tables and associated requirements from the St. Lawrence Burn Tests to more recent changes associated with the concentration of openings and fire department arrival time. This includes a detailed discussion of the results of the St. Lawrence burn tests and the conversion of those results into the specific spatial separation requirements that exist in the current 2020 NBC, including the modifications that have occurred since. Recommendations include reviewing the applicability of the flame front factor used in the development of the spatial separation table values, reconsidering the 10-minute fire department arrival time assumption, reassessing concentrated openings in the context of the enclosing rectangle approach used in the UK and New Zealand, and extending themethod for calculating unprotected openings for staggered and skewed building faces from Part 9 to Part 3 buildings.
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 | 0.012 | 0.021 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.008 | 0.011 |
| Science and technology studies | 0.005 | 0.024 |
| Scholarly communication | 0.010 | 0.013 |
| Open science | 0.004 | 0.005 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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".