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Reading Plato’s <i>Theaetetus</i>

2015· article· en· W1546559954 on OpenAlexvenueno aff
Timothy Chappell, Joshua Reynolds

Bibliographic record

VenueAestimatio Sources and Studies in the History of Science · 2015
Typearticle
Languageen
FieldArts and Humanities
TopicClassical Philosophy and Thought
Canadian institutionsnot available
Fundersnot available
KeywordsGlossaryArgument (complex analysis)Reading (process)PhilosophyEpistemologyLiteratureLinguisticsChemistryArt

Abstract

fetched live from OpenAlex

Chappell's recent commentary on Plato's Theaetetus follows the format of Cornford's classic Plato's Theory of Knowledge [1935] in that it offers a translation of individual sections of text followed by brief commentary.Its main differences from Cornford are an analytic approach, and a systematic survey and critique of alternative scholarly viewpoints.Chappell's commentary is, therefore, more rigorous and philosophically subtle than Cornford's.This is certainly the book's greatest merit.Occasionally, however, one gets the impression that the discussion has strayed far away from the Theaetetus and that this difficult dialogue has become even more complicated. 1In addition to offering philosophical analysis of individual passages and an interpretation of the dialogue as a whole, Chappell ventures outside of the dialogue to address its place within the Platonic corpus and the issue of whether it supports a unified or revisionist model of Plato's thought.He defends a modified version of Cornford's 'Unitarianism' in arguing that the Theaetetus, although a late dialogue that does not mention Forms, implicitly defends the need for Forms in any correct account of knowledge.

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)0.003
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 score0.009
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.009
Scholarly communication0.0050.005
Open science0.0010.001
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0090.002

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 head0.285
Teacher spread0.158 · 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".

Quick stats

Citations29
Published2015
Admission routes1
Has abstractyes

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