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Record W2289110145 · doi:10.1090/proc/12980

The relative 𝑝-affine capacity

2016· article· en· W2289110145 on OpenAlexafffund
Jie Xiao, Ning Zhang

Bibliographic record

VenueProceedings of the American Mathematical Society · 2016
Typearticle
Languageen
FieldMathematics
TopicPoint processes and geometric inequalities
Canadian institutionsUniversity of AlbertaMemorial University of Newfoundland
FundersNatural Sciences and Engineering Research Council of CanadaUniversity of Alberta
KeywordsMathematics

Abstract

fetched live from OpenAlex

In this paper, the relative p p -affine capacities are introduced, developed, and subsequently applied to the trace theory of affine Sobolev spaces. In particular, we geometrically characterize such a nonnegative Radon measure μ \mu given on an open set O ⊆ R n \mathcal {O}\subseteq \mathbb R^n that naturally induces an embedding of the p p -affine Sobolev class W 0 , d 1 , p ( O ) {W}^{1,p}_{0,d}(\mathcal {O}) into the Lebesgue space L q ( O , μ ) L^q(\mathcal {O},\mu ) (under 1 ≤ p ≤ q > ∞ 1\le p\le q>\infty ) and the exponentially-integrable Lebesgue space exp ⁡ ( ( n ω n 1 n | f | ) n / ( n −

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)0.005
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 score0.014
Threshold uncertainty score0.047

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.003
Scholarly communication0.0030.007
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0140.002

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 head0.040
GPT teacher head0.289
Teacher spread0.248 · 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
Published2016
Admission routes2
Has abstractyes

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Same venueProceedings of the American Mathematical SocietySame topicPoint processes and geometric inequalitiesFrench-language works237,207