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
The National Energy Board (NEB) is a Canadian federal regulatory agency whose mandate under the NEB Act is to regulate the construction and operation of interprovincial and international oil, gas and commodity pipelines; the construction and operation of international and designated interprovincial power lines; the setting of tolls and tariffs for oil and gas pipelines under its jurisdiction; the export of oil, natural gas and electricity, and the import of natural gas. International and interprovincial pipelines are subject to the statutory requirements of the NEB Act and Regulations made by the NEB. The regulations typically incorporate consensus standards such as the Canadian Standards Association (CSA Z662 - Oil and Gas Pipeline Systems). The NEB tracks and monitors compliance to ensure that companies fulfill the requirements of the Act and Regulations as well as any conditions imposed at the time of approval of the facilities. In carrying out its mandate, the NEB promotes the safety of people, the protection of property and the environment, and economic efficiency in the Canadian public interest. Recently, the NEB has implemented a formal system to track and monitor compliance. In approving new projects, the NEB imposes conditions outlined in approval Orders and Certificates. It then tracks these conditions for compliance, completeness and effectiveness. The compliance information is gathered mainly from activities such as inspections, audits and company filings. This paper explores in greater detail the NEB’s role in terms of tracking and monitoring compliance, NEB expectations of regulated companies and the effectiveness of a self-reporting condition. It also discusses the advantages for companies to be in compliance and its importance.
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) | 0.004 | 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