Bibliographic record
Abstract
Field studies and geothermal modelling show ground cooling below raised buildings in permafrost regions significantly offsets the ground warming impact of climate warming. For an adfreeze pile, the ground cooling below a raised building improves the capacity relative to pre-construction conditions. Many designers do not take credit for this cooling effect but propose to incorporate thermal mitigation in the design, such as the use of thermopiles. The adaptive adfreeze pile is an innovative concept that accounts for long-term cooling beneath raised buildings and the resulting enhanced pile capacity. The concept entails the installation of a closed ended steel pipe as a conventional adfreeze pile. If future ground temperatures warm above a design-specified threshold, a small diameter thermosyphon could be inserted into the interior of the hollow pile. The retrofitted thermosyphon, if ever required, would passively cool the ground during winter to reduce the mean annual ground temperature and maintain pile capacity. This approach is cost-effective compared to conventional thermopile design and provides greater thermosyphon performance assurances in the long-term. This paper details the application of this pile design for two multi-story buildings in Old Crow Yukon, and describes the geothermal background showing its technical feasibility and initial performance data.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".