Developing and Implementing a PCCP Condition Assessment Program
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
This paper presents the City of Ottawa’s recent experiences developing and implementing a condition assessment program for large-diameter watermains. A significant portion of the inventory is comprised of prestressed concrete cylinder pipe (PCCP) lines, and due to recent failures on these pipes, efforts have been focused on understanding the condition and failure mechanisms of the PCCP in their system. As the City has embarked on their inspection program, it has become apparent that compiling and managing available data, filling in missing critical pieces of data, selecting appropriate PCCP inspection tools, and interpreting inspection results are all critical to developing a complete program. The goal of the City’s condition assessment program is to identify distressed pipes with broken prestressing wires, evaluate the risk of failure of such distressed pipes, and repair or replace pipes at high risk of failure. In order to achieve this goal, the City needs to understand the structural capacity of the pipes, the sensitivity of the pipes to prestressing wire breaks, and which inspection technologies provide sufficient resolution in the distress estimation. This paper will present an overview of the original condition assessment approach at the City of Ottawa, data sources and gathering efforts, how the program evolved as well as the lessons learned and improvements of the program over time.
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 | 0.002 | 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 | 0.006 | 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