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Record W2041717037 · doi:10.4171/rlm/623

Constrained ephemeral continua

2012· article· it· W2041717037 on OpenAlexafffund
Gianfranco Capriz, Eliot Fried, Brian Seguin

Bibliographic record

VenueRendiconti Lincei Matematica e Applicazioni · 2012
Typearticle
Languageit
FieldMathematics
TopicAdvanced Topology and Set Theory
Canadian institutionsMcGill University
FundersGruppo Nazionale per la Fisica MatematicaCanada Research ChairsIstituto Nazionale di Alta Matematica "Francesco Severi"
KeywordsEphemeral keyMathematicsAlgorithm

Abstract

fetched live from OpenAlex

The theory of ephemeral continua was proposed to model bodies for which the basic tenet of permanence of material elements fails. The goal of the proposal was, principally, to lessen the impact of critical arguments against the imposition of the principle of material frame-indifference in continuum mechanics. Those arguments were based on the remark that, in any case, any mathematical model of reality is necessarily observer dependent; however, as it happens, they were urged on by noticing that some corollaries in the kinetic theory of gases appear to contradict requirements of frame-indifference. The proposed theory cures that wound via a definition of peculiar velocities which assures their exact observer independence. Besides, that theory o¤ers a wider base, allowing one to breed models for bodies where the processes are irremediably influenced by events at a lower scale, models based so far on a bottom up approach with partly uncertain steps up from the standard case. Here, we proceed via a top down approach, by introducing progressively stronger constraints. Largely, earlier results are confirmed, securer ground is given to some interpretations or alternatives offered. Briefly, the general requirements for any linear constraint to have physical content are stated and their immediate implications are derived. These requirements are applied to study certain special cases of the general constraint. Connections are provided between the consequent simplifications and results available by bottom-up approaches, so to speak—including, in particular, hypocontinua and Navier–Stokes- \alpha, \beta continua. To show that the value of our general approach transcends the building of an all-encompassing framework, we conclude by deriving the reduced balance laws consistent with the most general version of the constraint. These laws open an easy approach to obtaining potentially useful special cases.

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)0.002
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: none
Teacher disagreement score0.006
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.004
Scholarly communication0.0020.004
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.001

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 head0.025
GPT teacher head0.314
Teacher spread0.288 · 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

Citations7
Published2012
Admission routes2
Has abstractyes

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