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Record W3198160542 · doi:10.1556/012.2021.01510

Hyperspace of finite unions of convergent sequences

2021· article· en· W3198160542 on OpenAlex
JingLing Lin, Fucai Lin, Chuan Liu

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

VenueStudia Scientiarum Mathematicarum Hungarica · 2021
Typearticle
Languageen
FieldMathematics
TopicAdvanced Topology and Set Theory
Canadian institutionsToronto Metropolitan University
FundersProgram for New Century Excellent Talents in UniversityNatural Science Foundation of Fujian ProvinceNational Natural Science Foundation of China
KeywordsHyperspaceMathematicsCharacter (mathematics)DiagonalRank (graph theory)Metric spaceSpace (punctuation)Metric (unit)CombinatoricsFunction (biology)Discrete mathematicsPure mathematicsTopology (electrical circuits)GeometryComputer science

Abstract

fetched live from OpenAlex

The symbol S( X ) denotes the hyperspace of finite unions of convergent sequences in a Hausdor˛ space X . This hyper-space is endowed with the Vietoris topology. First of all, we give a characterization of convergent sequence in S( X ). Then we consider some cardinal invariants on S( X ), and compare the character, the pseudocharacter, the sn-character, the so-character, the network weight and cs-network weight of S ( X ) with the corresponding cardinal function of X . Moreover, we consider rank k -diagonal on S ( X ), and give a space X with a rank 2 -diagonal such that S ( X ) does not G δ -diagonal. Further, we study the relations of some generalized metric properties of X and its hyperspace S ( X ). Finally, we pose some questions about the hyperspace S ( X ).

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)0.001
metaresearch head score (Gemma)0.002
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: Empirical
Teacher disagreement score0.370
Threshold uncertainty score0.748

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.041
GPT teacher head0.324
Teacher spread0.283 · 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