Planning for SHM in the conservation of places of faith: the case study of a Saint John, NB cathedral
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Many churches, temples, and mosques stand as cherished heritage structures, embodying the rich cultural essence of communities worldwide. Monitoring and maintaining these structures often demand unique considerations due to their distinctive features and materials. Provided in this paper is a review of sensors used in the SHM of 45 historic places of faith through discussions of sensor benefits, limitations, rational, and deployment locations across different building types. This review is contextualized via a case study of the Cathedral of the Immaculate Conception in Saint John, NB, Canada. Following a brief history of the cathedral, complications due to previous conservation efforts are discussed and the cathedral’s present state is described. Then, the sensor selection process for phases one and two of a cost-effective SHM implementation is presented. Finally, the staging and timing of sensor installation is detailed. This SHM system is expected to assist in timely damage detection and condition-based maintenance, minimising the cost of interventions.
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.
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 | 0.000 |
| 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 it