Bibliographic record
Abstract
Numerical simulations with a two-dimensional computer model are used in conjunction with a field study to examine sill processes near the shallow inner sill of the Saguenay Fjord, Quebec. The simulations predict that areas close to each side of the sill show enhanced turbulence, which could lead to the generation of internal waves and mixing. Spatial and temporal kinetic energies on each side of the sill are discussed along with their use to aid in planning a field study of the area. Field observations collected during Summer 2007 resulted in 23 internal wave trains being sampled, propagating in nearly every direction on both sides of the sill. The cross-channel motion of some of these wave trains could not be predicted by the model as it is two-dimensional. The use of a small, easily maneuverable boat for sampling resulted in the ability to sample a wave train more than once as it propagates. Shore-based photography from nearby hills were also collected providing a time-lasped data set showing the sea surface manifestations. A large-amplitude internal wave train is discussed along with perhaps the first ever documented occurrence of internal wave reflection in a coastal environment.
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.
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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".