Undoing The Past: Reclaiming A Contaminated Site Within an Urban Residential Neighbourhood
Bibliographic record
Abstract
Abstract Undoing the past and reclaiming a contaminated site within an established and densely populated urban centre was the challenge Nexen Inc. faced when it learned that a sour gas well, drilled by a predecessor some 40 years earlier, had not been properly cleaned up. Late in 2000 during a routine review of petroleum wellsite abandonment certificates, Alberta Environment identified that a reclamation certificate for the former wellsite was not on file. Nexen immediately began an exhaustive search of historical information and photographs involving past and present employees, both provincial & municipal regulators, the regional health authority, area developers, and the community association. The only information on file was the original technical specifications of the well. What was suspected was that the drilling mud used for this well had been diesel-fuel based. Indeed, records confirmed that nearly 45,000 litres of diesel fuel had been used in the drilling mud for this well.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".