Bibliographic record
Abstract
The NFC sets out fire protection requirements for the safe use and maintenance of buildings. It also applies to the conduct of activities that might cause fire hazards in and around buildings, fire safety at construction and demolition sites, the establishment of fire safety plans, and limitations on hazardous contents in and around buildings. The 2025 edition of the NFC includes the following updates: - Expansion of the objective of protecting adjacent buildings or facilities from fire to apply to large farm buildings - Removal of the application limits placed on the reference to CSA B139 Series:24, “Installation Code for Oil Burning Equipment,” so the standard can be referenced for all tank sizes within its scope - Clarification of the maximum quantities of dangerous goods that are permitted for use in laboratories, including the addition of limits for compressed gases - Introduction of additional measures to reduce the risk of fire spread in encapsulated mass timber buildings during construction, while permitting increased exposure of mass timber elements in certain conditions
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 | 0.004 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.004 | 0.001 |
| Research integrity | 0.005 | 0.004 |
| Insufficient payload (model declined to judge) | 0.092 | 0.068 |
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".