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Record W1999983846 · doi:10.1080/14685248.2010.481673

Eddy stress and shear in 2-D flow

2010· article· en· W1999983846 on OpenAlex
Greg Holloway

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Turbulence · 2010
Typearticle
Languageen
FieldEngineering
TopicFluid Dynamics and Turbulent Flows
Canadian institutionsFisheries and Oceans Canada
Fundersnot available
KeywordsVorticityAdvectionMechanicsTurbulenceVortexShear stressEddy diffusionMomentum transferIsotropyPhysicsFlow (mathematics)Shear (geology)Potential vorticityMomentum (technical analysis)Classical mechanicsMeteorologyGeologyThermodynamicsOptics

Abstract

fetched live from OpenAlex

Upscale transfers of energy and momentum in quasi-2-D flows are seen in atmosphere, oceans and numerical experiments. Mechanisms that drive upscale transfer have been described in terms of sheared vortices becoming tilted and thinned, losing energy and developing eddy stresses which force, rather than resist, mean flow. Some of these concepts are mistaken. If initially isotropic eddy vorticity is passively advected in uniform shear, no eddy stress develops and there is no loss of eddy energy. When active vorticity self-advection is included, stresses arise yielding downgradient momentum transfer – just the opposite of what was hitherto expected.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.059
Threshold uncertainty score0.284

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.003
GPT teacher head0.191
Teacher spread0.188 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it