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Record W2883226170

On Closure Operators in Nano Topological Space

2018· article· en· W2883226170 on OpenAlex
M Bhuvaneswari Murugesh

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

VenueJournal of Global Research in Mathematical Archives(JGRMA) · 2018
Typearticle
Languageen
FieldDecision Sciences
TopicFuzzy and Soft Set Theory
Canadian institutionsNexen (Canada)
Fundersnot available
KeywordsClosure (psychology)Topological spaceMathematicsTopology (electrical circuits)Topological vector spaceClosed setFunction spaceSpace (punctuation)Closure operatorSet (abstract data type)Pure mathematicsComputer scienceCombinatorics
DOInot available

Abstract

fetched live from OpenAlex

The objective of this paper is to introduce Nwg-interior and Nwg-closure of a set in Nano topological spaces and investigate some of its topological properties.  Also a comparative study has been made with other existing closure and interior operators with suitable examples. Further, various characteristics of  Nwg-continuous function and Nwg-closed maps  are discussed using Nwg-closure and Nwg-interior.

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)0.018
metaresearch head score (Gemma)0.032
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
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 score0.127
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0180.032
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.003
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.207
GPT teacher head0.509
Teacher spread0.302 · 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