PORE WATER INFILTRATION AND DRAINAGE ON A MEGATIDAL BEACH IN RELATION TO TIDE- AND WAVE-FORCING
Bibliographic record
Abstract
A pressure and temperature sensor (pT sensor) was deployed at mid-tide level and at a sediment depth of 0.5 m on a steep, megatidal, mixed-sand-gravel beach in Advocate Beach, Bay of Fundy, Nova Scotia, for pore pressure monitoring at the beachface. The pT sensor was buried at a sediment depth of 0.5 m centrally located in the intertidal zone. For comparison, another pT sensor of the same model was synchronized and mounted to an instrumented frame 0.5 m above the beachface at approximately the same location. The tidal range in this area is ~10-12 m. During the experiment, significant wave heights ranging from 0.1-0.9 m and wave periods ranging from 3-8 s were measured. The results demonstrated that the pT sensor was well suited for pore pressure monitoring with regard to tidal variations and wave action in the intertidal zone. A spontaneous infiltration of pore space with the uprising flood tide was observed, while the drainage phase was extended in response to low drainage rates. Regarding wave action, the wave signal was well reflected in the pore pressure records. However, the signal was damped and delayed compared to the in-water pressure signal. Also, wave skewness and asymmetry was more pronounced in the sediment. Despite the very coarse material (d50=0.3-18.5 mm), short phases of pore pressure build up were observed. Based on this data set, a more detailed analysis of pore pressure signals with regard to surficial grain size variations and hydrodynamics will be carried out.
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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 | 0.000 |
| 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) | 0.001 | 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".