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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 OpenAlexaff
Greg Holloway

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.002
Scholarly communication0.0020.002
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

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".

Quick stats

Citations13
Published2010
Admission routes1
Has abstractyes

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