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 article discusses engineering supervision and engineering efforts in remediation of different sites. Public Works and Government Services Canada, which manages many of the military bases in the Ottawa region, commissioned the environmental and geotechnical firm Golder Associates Ltd. to provide engineering supervision and support for remediation of the site. The remediation of the former military landfill site, conducted in February and March 2006, not only cleaned up a polluted part of the Earth, it also pointed to some of the current best practices being used to protect the environment when working on military properties. Once site remediation began, plans had to be changed quickly, because Golder discovered that parts of the landfill site were dotted with holes that indicated it was being used as a turtle nesting site. Through a literature review, bioscientists determined what kind of aggregate would be most acceptable to the turtles as nesting material. The landfill cap is vegetated with grass and shrubs to consolidate the soil cover layers and prevent their erosion. Given that the site is behind the target area for one of the firing ranges, it does not get much human traffic, but its landscape is in keeping with the surrounding area, and the site poses no more threat to the local ecosystem.
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) | 0.001 | 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 it