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Record W4254713381 · doi:10.1137/1.9781611974713.ch0

CHAPTER 0: Introduction

2018· book-chapter· en· W4254713381 on OpenAlexaff
Peter E. Caines

Bibliographic record

VenueSociety for Industrial and Applied Mathematics eBooks · 2018
Typebook-chapter
Languageen
FieldPhysics and Astronomy
TopicComplex Systems and Dynamics
Canadian institutionsMcGill University
Fundersnot available
KeywordsSet (abstract data type)Computer scienceObservableContext (archaeology)Dynamical systems theoryMathematical structureTheoretical computer scienceMathematicsPhysicsProgramming languageGeographyMathematics education

Abstract

fetched live from OpenAlex

A dynamical system is a set of entities, in particular observable phenomena, which evolve and interact as time elapses. Mathematical descriptions of such systems are called (mathematical) system models. However, in this book, we simply refer to the notion of a system because the context indicates whether we are discussing abstract entities, phenomena, or their mathematical representations.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.331
Threshold uncertainty score0.954

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0020.001
Scholarly communication0.0070.004
Open science0.0020.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.3310.221

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 head0.230
Teacher spread0.189 · 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.

Study designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2018
Admission routes1
Has abstractyes

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