Extending the Kenney–Lau method to dam core soils of glacial till
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
The Kenney–Lau method, which is used to assess the internal stability of granular soils, is stretched in engineering practice to include soils with fines. This strays beyond the method’s intended range and may introduce potential uncertainty in terms of validity. Herein, results are presented from the assessment of grain size curves from core construction data belonging to a large number of existing dams with core material composed of widely graded glacial till soils. Some have experienced internal erosion events, and others have not, and based on the benchmark of historic performance data of these dams, the validity of the Kenney–Lau method in terms of glacial tills is investigated. Only dams in the same filter coarseness range are studied in order to reduce the influence of the filter. By contrasting dams with documented internal erosion history against the application results of the method, it indicates that the Kenney–Lau method can be extended with caution to include glacial till cores if within the proposed fines content and finer fraction ranges.
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 | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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