Bibliographic record
Abstract
Internal waves in the ocean and their laboratory analogues are known to break down via a variety of mechanisms. In this talk I will focus on Direct Numerical Simulations of mode-2 internal waves generated from a lock-release on a laboratory scale. This well-understood process of generation allows us to control the size and shape of the wave formed, for example through a judicious choice of density stratification. In the absence of rotation the internal waves generated, primarily induces stream wise and vertical currents, with span wise currents being the product of small scale three-dimensionalization. When rotation is present, the process of geostrophic adjustment leads to a complex pattern of wave-induced currents oriented in all three coordinate directions. I will demonstrate that this leads to shear instabilities that are trapped near one of the tank walls, it also leads to smaller scale shear instabilities with a stream wise oriented vorticity axis (to our knowledge the first documented case of such instabilities). I will discuss the breakdown into turbulence of these instabilities and the possibilities and challenges of scale up of these simulations to the field scale.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".