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Record W4384010646 · doi:10.1017/9781009401548.008

Monstrous Moonshine

2023· book-chapter· en· W4384010646 on OpenAlexaff
Terry Gannon

Bibliographic record

VenueCambridge University Press eBooks · 2023
Typebook-chapter
Languageen
FieldSocial Sciences
TopicGothic Literature and Media Analysis
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsContent (measure theory)Action (physics)Computer scienceMathematicsPhysics

Abstract

fetched live from OpenAlex

Monstrous MoonshineThomas Edison once said that to invent you need a good imagination and a pile of junk. Let's see what some imagination can do.This book has been about Moonshine: a diverse collection of points-of-contact between algebra, number theory and mathematical physics, which nevertheless has a common theory.The most remarkable example of Moonshine is surely the association of Hauptmoduls with elements of the Monster M. It is to this we finally turn.The reader should reread the introductory chapter, which quickly sketches the basics of Monstrous Moonshine.In this chapter we explore this in more detail.The original article [111] is still very readable and contains a wealth of information not found in other sources.Other reviews are [107], [410], [73], [154], [412], [249], [75], [469], [78], [237]and the introductory chapter in [201], and each has its own emphasis. The Monstrous Moonshine ConjecturesRecall from the introductory chapter the McKay equation 196 884 = 196 883 + 1.(7.1.1)The number on the left is the first nontrivial coefficient of the j-function, and the numbers on the right are the dimensions of the smallest irreducible representations of the Fischer-Griess Monster M. On the one side, we have a modular function; on the other, a sporadic finite simple group.Monstrous Moonshine explores this completely unexpected connection between finite groups and modular functions.The world is full of coincidences, and it isn't always clear how seriously they should be regarded.For instance, at the heart of Monstrous Moonshine is a holomorphic c = 24 VOA; the conjectured number of holomorphic c = 24 VOAs [488] is 71, and this is the largest prime dividing M .There are 26 sporadics, 26 generators in a presentation of the Bimonster discussed shortly, and 26 conjugacy classes in the largest Mathieu group M 24 .Are any of those numbers related to the 24 of Section 2.5.1, the k-group Z 48 of the integers or the number (24) of 24-dimensional even self-dual lattices? 1 Nor is physics immune to such thoughts.The great physicist Dirac noticed [140] that the ratio of the electrostatic to gravitational force between the proton and electron in a 1 Perhaps this Mathieu group remark is related somehow to the fact that for subgroups G of SL 3 (C), the Euler number of a minimal resolution of the quotient singularity C 3 /G equals the number of conjugacy classes of G [143], [471].

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.163
Threshold uncertainty score0.544

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.1630.079

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 head0.029
GPT teacher head0.231
Teacher spread0.202 · 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 designNot applicable
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".

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Citations0
Published2023
Admission routes1
Has abstractyes

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Same venueCambridge University Press eBooksSame topicGothic Literature and Media AnalysisFrench-language works237,207