Development of Pipeline Integrity Performance Indicators for Canadian Energy Pipelines
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
In 2004, in response to a number of internal and external drivers, the Pipeline Integrity Working Group (PIWG) of the Canadian Energy Pipeline Association (CEPA) undertook to develop pipeline integrity performance indicators. The PIWG wished to create indicators that would assist in reporting performance to regulatory stakeholders and provide its member companies with a means of comparing their respective integrity performance with the performance of their peers in the industry. The development of meaningful performance indicators is not as straightforward as it might appear. The performance indicator analysis and reporting has evolved since the initial report prepared in 2004, and now trends in the indicators are emerging that can be used to improve understanding of the issues and successes related to pipeline integrity management. This paper describes development of the CEPA pipeline integrity performance indicators including: • Stakeholder expectations; • Characteristics of the CEPA performance indicators; • The steps in development the performance indicators; • Key elements; • Data collection; • Data analyses; • Reporting; • Significant modifications; • Issues; and • Next steps.
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