Nouveau! Abonnement en ligne aux éditions 2005 des codes modèles publiés par le CNRC; Recueil d'évaluations de produits édition 2008 du Centre canadien des matériaux de construction, disponible sur CD; Nouveau Guide d'installation de systèmes de signalisation photoluminescente dans les cages d'escaliers de bâtiments; Nouveau centre de recherche de l'IRC-CNRC à London en Ontario; L'IRC-CNRC complète une première phase d'un projet de recherche sur le comportement au feu des maisons; L'IRC-CNRC mène une étude rétrospective de l'incendie du Manège militaire de Québec
Bibliographic record
Abstract
The 2005 editions of the model codes published by NRC are now available through an on-line Web-based subscription service. The online edition of the 2008 Registry of Product Evaluations of the Canadian Construction Materials Centre is now available on CD-ROM. NRC-IRC researchers publish a new Guide for the installation of photoluminescent exit stairway markings in buildings. The new NRC-IRC's NRC Centre for Computer-assisted Construction Technologies located in London Ontario will develop and apply information technology-based tools to help the Canadian construction industry tackle the challenge of productivity. NRC-IRC completes Phase I of Fire Performance of Houses project. NRC-IRC conducts a retrospective study to evaluate the fire that took place at the Quebec City Armoury
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 | 0.003 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.005 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.286 | 0.158 |
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".