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The Other Mathematics: Language and Logic in Egyptian and in General

2015· article· en· W2727944737 on OpenAlexvenueno aff
Leo Depuydt, Micah Ross

Bibliographic record

VenueAestimatio Sources and Studies in the History of Science · 2015
Typearticle
Languageen
FieldMathematics
TopicHistory and Theory of Mathematics
Canadian institutionsnot available
Fundersnot available
KeywordsMathematics educationMathematicsComputer scienceCalculus (dental)LinguisticsProgramming languagePhilosophyMedicine

Abstract

fetched live from OpenAlex

Despite its title, The Other Mathematics: Language and Logic in Egyptian and in General, this book by Leo Depuydt addresses the field of Egyptian grammar more directly than the topic of Egyptian mathematics.Yet, although Depuydt addresses grammarians more directly than historians of science, The Other Mathematics takes the work of George Boole as an unexpected point of departure for an analysis of conditional sentences in Old, Middle, and Late Egyptian as well as Coptic-but not Demotic: although Depuydt has published Demotic texts, The Other Mathematics omits this phase of the Egyptian language.Historians of science and mathematics will not find presentations of familiar texts from Egyptian mathematics, or new editions of previously unpublished texts, or even a reinterpretation of various enumerations, lists, and tables as a type of mathematical structure.Rather, the title refers to 'attribute mathematics' in which 'all things sharing an attribute together form a class or set' [16].By definition, then, The Other Mathematics excludes numbers and focuses on symbolic logic, 'nothing more or less than. . .a kind of mathematics' [40].However, because this approach applies modern logic only to ancient grammar, The Other Mathematics has next to no relevance to the idea and practice of science within an Egyptian context and only a limited bearing on the idea and practice of science outside of Egypt.Depuydt provides a clear key to the reader when he summarizes the contents of his book [11--13] and identifies the first five chapters as a logical unit which establishes the differences between two sentence types, conventionally translated as conditional sentences.Chapter 1 establishes the grammatical structure of these two sentence types.Chapter 2 reviews the development of symbolic logic,

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.015
Threshold uncertainty score0.072

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.004
Science and technology studies0.0040.015
Scholarly communication0.0080.006
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0140.001

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 head0.127
GPT teacher head0.348
Teacher spread0.221 · 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 designTheoretical or conceptual
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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Citations1
Published2015
Admission routes1
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