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Record W2095013656 · doi:10.1515/jnetdy.2004.056

Time scales for energy transfer

2004· article· en· W2095013656 on OpenAlex

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 Non-Equilibrium Thermodynamics · 2004
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAdvanced Thermodynamics and Statistical Mechanics
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsEnergy (signal processing)ScalingRange (aeronautics)Scale (ratio)Energy transferPhysicsPower (physics)Power lawMass transferEnergy fluxTransfer (computing)Flux (metallurgy)Statistical physicsThermodynamicsMechanicsComputational physicsMathematicsMaterials scienceAtomic physicsComputer scienceStatisticsGeometryQuantum mechanics

Abstract

fetched live from OpenAlex

Periodic operating systems can conserve energy by temporarily transferring one form of energy into another. However, every transfer of energy ΔE in a system of mass M has a characteristic time scale τ. Thus the power flux per unit mass q′ = ΔE/(Mτ) is not arbitrary. Time scales τ = Ct · Mα and energy fluxes P = Cp · Mβ for various processes are expressed here as power functions of M. The scaling law constants Ct and Cp depend on various internal parameters, occasionally allowing the performance of systems to be optimized. When energy changes its form reversibly inside abody there is no mass dependence on the time scale and on the specific power transfer: α,β = 0. In most other cases beta is negative in the range -2/3 ≤ β ≤ 0, and alpha is positive in the range 0 ≤ α ≤ 1/2.

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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.749
Threshold uncertainty score0.890

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 head0.005
GPT teacher head0.236
Teacher spread0.230 · 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