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Density functions and free energies

2000· book-chapter· en· W4388318121 on OpenAlexaff
E J Janse van Rensburg

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldPhysics and Astronomy
TopicTheoretical and Computational Physics
Canadian institutionsYork University
Fundersnot available
KeywordsLegendre transformationLegendre polynomialsLimitingSection (typography)Function (biology)Exponential functionThermodynamic free energyEnergy (signal processing)MathematicsThermodynamic potentialStatistical physicsPhysicsMathematical analysisThermodynamicsComputer scienceEngineeringStatistics

Abstract

fetched live from OpenAlex

Abstract In this chapter I shall revisit and extend the ideas first introduced in Section 2.1. The main concern will be the limiting free energy in an interacting model of polygons, and its relation to the density function of the model, which will be defined as the exponential of the Legendre transform of the free energy :F41(z). The results in eqns (2.1)-(2.6) will be reformulated in terms of the density function, and its properties will have consequences for thermodynamic properties of the model. Legendre transforms have been used effectively in a self-avoiding walk problem [165], see also the book by R.S. Ellis 1103] and reference [2501. The density function formulates the thermodynamic problem in Section 2.1 into a purely combinatorial question. The reformulated problem contains no activities, but it is still possible to give answers to some thermodynamic questions regarding the original model.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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: Other · Consensus signal: Other
Teacher disagreement score0.012
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0010.003
Scholarly communication0.0020.004
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0120.002

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 head0.175
Teacher spread0.169 · 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 designTheoretical or conceptual
Domainnot available
GenreOther

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".

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Citations0
Published2000
Admission routes1
Has abstractyes

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