A GRADUATE COURSE IN FIRE PROTECTIVE DESIGN AND BUILDING CODES AN INDUSTRY AND UNIVERSITY COLLABORATION
Bibliographic record
Abstract
Since the fall of 2013, the Faculty of Engineering has offered a graduate course in Fire Protective Design and Building Codes based on Part 3 of the National Building Code of Canada. The course is made available to graduate students in architecture and to all branches of engineering. It is also offered to off campus practicing architects and engineers who wish to either take the course for credit or who would like to audit the course.Introduction of this course into the graduate studies program at the University of Manitoba was the direct result of collaboration between the university Centre for Engineering Professional Practice and Engineering Education and industry. Industry financial support for the course instructors was provided by the Winnipeg Construction Association and the Association of Professional Engineers and Geoscientists of Manitoba. (Engineers Geoscientists Manitoba).This paper provides an overview of the course objectives, the course content and the expected and realized outcomes. The course proved to be very popular, with course registration averaging between fourteen and eighteen graduate students each year. It was highly rated by the year end student course evaluations. It was particularly popular with international graduate students, many who came from countries where exposure to fire protective design and building codes was limited or non-existent. As a spin off from the course, in 2015, the Winnipeg Construction Association began offering a workshop/seminar series of five half day courses. These workshop/seminars have been oversubscribed and are attended by a very diverse group of construction practitioners that includes architects, engineers, building officials and contractors.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".