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Record W4411151718 · doi:10.1515/ms-2025-0049

Linear and uniformly continuous surjections between <i>C<sub>p</sub> </i>-spaces over metrizable spaces

2025· article· en· W4411151718 on OpenAlex

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

VenueMathematica Slovaca · 2025
Typearticle
Languageen
FieldMathematics
TopicAdvanced Topology and Set Theory
Canadian institutionsNipissing University
Fundersnot available
KeywordsMathematicsMetrization theoremSurjective functionPointwiseBijection, injection and surjectionBounded functionTychonoff spaceUniform continuityCountable setSpace (punctuation)Pointwise convergenceDiscrete mathematicsFunction spaceContinuous function (set theory)CombinatoricsPure mathematicsTopological spaceMathematical analysisFunction (biology)Metric spaceSeparable space

Abstract

fetched live from OpenAlex

Abstract For any Tychonoff space X let D ( X ) be either the set C ( X ) of all continuous functions on X or the set C ∗ ( X ) of all bounded continuous functions on X . When D ( X ) is endowed with the pointwise convergence topology, we write D p ( X ). Let T : D p ( X ) → D p ( Y ) be a continuous linear surjection, where X is a metrizable space and Y is perfectly normal. We show that if X has some dimensional-like property 𝒫 , then so does Y . For example, 𝒫 could be one of the following properties: zero-dimensionality, countable-dimensionality or strong countable-dimensionality. This result remains true if T is a uniformly continuous and inversely bounded surjection. Also, we consider other properties 𝒫 : of being a scattered space, or a strongly σ -scattered space, or a Δ1-space. Our results strengthen and extend several results from the various recently published papers.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.058
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.020
GPT teacher head0.305
Teacher spread0.285 · 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