FEMA P-58 SEISMIC PERFORMANCE ASSESSMENT OF THE NEW ST. PAUL'S HOSPITAL, VANCOUVER, CANADA
Bibliographic record
Abstract
The new St. Paul’s Hospital, currently under construction in Vancouver, is designed as a post-disaster facility in accordance with the 2019 Vancouver Building By-law (building code). Post-disaster design for earthquake loading per the building code provisions involves the use of an importance factor of 1.5 and limiting interstorey drifts to 1%, amongst other requirements to limit irregularities. As the hospital will play an essential role in the post-earthquake response and recovery of the community, additional assessments beyond the requirements of the building code were conducted to better predict the post-earthquake performance of the facility. The assessment methodology as outlined in the FEMA P-58: Seismic Performance Assessment of Buildings was utilized to assess the facility’s performance based on its specific site characteristics, structural and non-structural components, medical equipment, and occupancy. This paper presents an overview of two methods that were used to determine and then present and summarize the FEMA P-58 assessment’s outputs to various stakeholders: 1) floor-by-floor breakdown of repair costs and repair times for various component groups with emphasis on equipment crucial to post-earthquake functionality of the facility 2) component-by-component damage state data breakdown translated from numbers into written statements. This information helped various technical and non-technical stakeholders including the design professionals understand the impact of seismic damage and confirm/improve design decisions.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".