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Record W2963841298

Volumes of Space as Subsystems

2007· article· en· W2963841298 on OpenAlexaff
Federico Piazza, Fabio Costa

Bibliographic record

VenueQueensland's institutional digital repository (The University of Queensland) · 2007
Typearticle
Languageen
FieldPhysics and Astronomy
TopicBlack Holes and Theoretical Physics
Canadian institutionsPerimeter Institute
Fundersnot available
KeywordsMinkowski spaceSemiclassical physicsLocalityQuantum gravityQuantumHamiltonian (control theory)MathematicsTheoretical physicsPhysicsClassical mechanicsMathematical physicsQuantum mechanics
DOInot available

Abstract

fetched live from OpenAlex

Perimeter Institute for Theoretical PhysicsWaterloo, Ontario, N2L 2Y5, Canada.Dipartimento di Fisica, Universita di MilanoAs a novelapproachwith possible relevance to semiclassical gravity, we proposeto define regionsof space as quantum subsystems. After recalling how to divide a generic quantum system into“parts”, we apply this idea to a free scalar field in Minkowski space and we compare two differentlocalization schemes. The first scheme is the standard one, i nduced by the local relativistic fields;the alternative scheme that we consider is the one induced by the Newton-Wigner operators.If degrees of freedom are divided according to the latter, the Hamiltonian of the field exhibitsa certain amount of non-locality. Moreover, when a region ofspace is cut off from the restaccording to the Newton-Wigner scheme, the geometric entropy is finite and exhibits a sensiblethermodynamic behaviour.From Quantum to Emergent Gravity: Theory and PhenomenologyJune 11-15 2007Trieste, Italy

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)0.000
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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.003
Scholarly communication0.0030.004
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.192
Teacher spread0.187 · 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
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

Citations2
Published2007
Admission routes1
Has abstractyes

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