Bibliographic record
Abstract
Water-retention dykes at a hydroelectric generating station in southeastern Manitoba experienced irregular instabilities over many years after they were heightened in the late 1940s. Samples from an unstable section of dyke showed considerable reductions in gypsum content and increased brittleness compared with those of neighbouring unloaded clay. The samples also showed that lowering the content of gypsum reduced the sizes of yield loci and the strains required for strain softening to occur. These observations and the time-dependent nature of the problem suggested that seepage from the forebay had leached naturally occurring cementation from the foundation clay and subsequently changed its behaviour. Stress–deformation modeling indicated the foundation clay had yielded during initial construction and again when the dykes were heightened. Seepage from the forebay occurred at different rates in different locations through the irregular sand–silt partings that are generally present in proglacial clays. Leaching and strain softening were therefore also irregular. Leaching led to reduction in the size of the yield loci and therefore increased the volume of soil that yielded under loading from the dyke. In slope-stability modeling, excess pore-water pressures arising from time-dependent brittleness were sufficient to cause instability of the dykes.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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 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".