Bibliographic record
Abstract
This paper discusses a complex, multi-parameter approach to questioning the capacity of the roof of an industrial facility in the Montreal area. The failure of a portion of the roof in March 2008 under heavier than usual snow loads triggered an investigation process that continues to this day. The roof was immediately repaired in order to allow the facility to continue its commercial activities. After the repair, an investigation of the snow loads on the roof was first conducted; this was followed by an assessment of the capacity of the roof joists and beams as designed and as built. An evaluation of the snow loads surrounding mechanical units on the roof was conducted. The building was erected in the 1960s and a significant number of changes took place following an expansion of the facility, including an addition with a roof higher than that of the existing building. The new elevated roof reduced the wind effects and created significant snow accumulation not only around the higher roof but also surrounding the mechanical units present almost everywhere. In the assessment of the joists, particular attention was paid to the welds between the web and the chords; these welds were at the origin of the failure of the roof as a whole. An evaluation of the mechanical equipment suspended from the joists was also carried out. An overall assessment of the structural system for earthquake resistance ultimately led to a seismic evaluation of the building, which is currently underway.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".