Korean Geosynthetic Society Conference
Bibliographic record
Abstract
1.1 General degradation mechanisms A large part of south – eastern Canada lies on low strength soils, i.e. sensitive clays or silty clays. Despite these materials are more complex to handle for roadways construction because they require thicker structures, it is now widely accepted that the major degradation mechanisms may not be only related to the nature of the soil. It is very common to observe that drivability of a roadway built according to engineering practice with regard to structural design could potentially decrease much faster than it would in other parts of the world, considering structurally similar subgrades. An explanation to this phenomenon lies on the fact that most of Canadian roadways are exposed to freezing temperatures 4 to 7 months a year, combined with annual precipitations in the range of 700 to 1500 mm of water. In central and eastern Canada, frost depth in winter may vary between 1 and 3 meters. As a consequence, the degradation mechanisms are typical of northern climates regions. The various climate-specific degradations in Canada can be classified in two major categories: degradations essentially caused by very low temperatures (occurrence in winter), and degradations associated to freeze – thaw cycles (occurrence during spring time). During winter, degradations are directly related to subsurface temperatures below the freezing point.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.346 | 0.210 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".