Permafrost and terrain research and monitoring sites of the Norman Wells to Zama pipeline - thermal data collection and case histories, April 1985 to September 2001
Bibliographic record
Abstract
The Norman Wells to Zama pipeline, located in northwestern Canada, is the first buried oil pipeline in the permafrost zone in Canada. During its construction in 1984-1985, the Canadian government and Enbridge Pipelines (NW) Inc. (formerly Interprovincial Pipe Line Ltd.) collaborated in the establishment of a permafrost thermal monitoring program consisting of more than 20 long-term thermal monitoring sites along the pipeline corridor. This contributed to a larger Permafrost and Terrain Research and Monitoring Program established to improve impact evaluation and mitigation on the Norman Wells and future pipelines. The thermal monitoring study was designed to investigate the impact of the pipeline construction and operation on permafrost and terrain conditions and to evaluate the approaches used to minimize terrain disturbance. The project focuses on 23 main monitoring sites (referred to as thermal fences) in representative terrain conditions encountered as the pipeline traverses the discontinuous permafrost zone. Multi-thermistor cables were installed both on and off the pipeline right-of-way to measure temperatures to depths of up to 20 metres. Observations of thaw depth and thaw settlement are also recorded in addition to ground temperatures. This CD presents the thermal data collected between 1984 and 2001 as well as a software program that will provide access to the data. Case histories for each monitoring site are also presented which include summaries of the trends in thermal conditions, thaw depth and thaw settlement. A synthesis is also presented which summarizes the trends in these conditions for each major terrain group.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".