Structural characterization of Eastern Canada’s old industrial masonry buildings via typological analysis: part I – construction technologies through time
Bibliographic record
Abstract
Industrial unreinforced masonry (URM) buildings are an important part of the existing building stock in Eastern Canada, a region characterised by high-frequency and low-to-moderate magnitude earthquakes. Despite their inherent vulnerability to earthquakes, these non-engineered buildings are being increasingly targeted for reuse purposes in many densely populated cities in the region. A lack of knowledge of local construction techniques, materials and architectural types paired with limited information of their characteristics leads seismic retrofits to be even more disruptive than usual. Often, such seismic retrofits result in expensive and complex designs or avoidable partial demolitions. Typological analysis is utilised in this work to identify local recurrent building archetypes and technologies through archival resources, as well as their evolution through time, as a first step to addressing the lack of information about the structural characteristics of this building type. Results from this study inform subsequent critical and more quantitative investigations conducted in the companion paper, where the first building database focusing on Eastern Canada’s old industrial URM constructions is presented and comprehensively reviewed. This research will enable engineering practitioners and applied researchers to decrease epistemic uncertainties and confidence factors in their structural/seismic assessments, vital to develop rational retrofits.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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".