Hydraulic conductivity changes of a low-plasticity till subjected to freeze–thaw cycles
Bibliographic record
Abstract
This paper examines the influence of several freeze–thaw cycles on the hydraulic conductivity changes of a glacial till from Péribonka in Quebec, Canada. Samples reconstituted by consolidation of a slurry and by compaction at dry of optimum conditions were subjected to closed freezing and thaw as well as constant-head permeability tests. For saturated consolidated samples, the relationship between the logarithm of hydraulic conductivity and void ratio was linear for both unfrozen and thawed states. At a given void ratio, the increase of the hydraulic conductivity of the thawed soil was larger for compacted and unsaturated samples than for saturated consolidated samples. Actual freeze–thaw-induced hydraulic conductivity changes, however, may be offset by a decrease in void ratio during thaw consolidation. A general framework considering void ratio, water content, stress and hydraulic conductivity relationships is presented for Péribonka glacial till.
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How this classification was reachedexpand
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) | 0.006 | 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 teacher head, 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".