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Record W4285023294 · doi:10.22215/etd/2022-15136

The dialectic of Logos and Eros: Plato’s Display of Rhetoric in the Phaedrus and the Symposium

2022· dissertation· en· W4285023294 on OpenAlexaff
Yipin Gao

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldArts and Humanities
TopicClassical Philosophy and Thought
Canadian institutionsCarleton University
Fundersnot available
KeywordsSOCRATESDialecticRhetoricSoulPhilosophyLogos Bible SoftwarePraiseMetaphysicsLiteratureEpistemologyInterpretation (philosophy)Relation (database)AestheticsArtTheologyLinguistics

Abstract

fetched live from OpenAlex

This dissertation offers an interpretation of Plato's philosophical writing that relies on the discussion of speech that is displayed in the Phaedrus. As Socrates shows in this discussion of speech, the philosophical writer who wishes to teach the philosopher's art of thinking must write in a way that could facilitate the serious activity of philosophy or dialectic, that is, the examination of the powers and affects of things that are said to be beneficial or harmful to human beings. In both the Phaedrus and the Symposium, Plato displays various speeches of praise and blame about ers or love to which Socrates must respond, hence inviting his audience to examine for themselves the natures of speech and love as complex things, both in terms of their powers and affects in relation to the human soul. In other words, rather than the indoctrination of some rigid metaphysical system, Plato sought to teach through his philosophical writing-dramatic works which can be identified as Plato's "display of rhetoric"-an arduous art of thinking that Socrates calls dialectic.

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.623
Threshold uncertainty score0.618

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.014
GPT teacher head0.234
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 teacher head, 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

Citations0
Published2022
Admission routes1
Has abstractyes

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