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Record W2148598833 · doi:10.1177/0090591707299951

Platonic Reflections on the Aesthetic Dimensions of Deliberative Democracy

2007· article· en· W2148598833 on OpenAlexaff
Christina Tarnopolsky

Bibliographic record

VenuePolitical Theory · 2007
Typearticle
Languageen
FieldPsychology
TopicEmotions and Moral Behavior
Canadian institutionsMcGill University
Fundersnot available
KeywordsSincerityShameVirtueDialogical selfDemocracyDeliberationPoliticsEpistemologyAestheticsCommunicative actionTransformative learningSociologyAction (physics)Deliberative democracyPhilosophyPsychologyLawSocial psychologyPolitical science

Abstract

fetched live from OpenAlex

This essay utilizes Plato's insights into the role of shame in dialogical interactions to illuminate the aesthetic dimensions of deliberative democracy. Through a close analysis of the refutation of Polus in Plato's dialogue, the Gorgias, I show how the emotion of shame is central to the unsettling, dynamic, and transformative character of democratic engagement and political judgment identified by recent aesthetic critics of Habermas' model of communicative action and democratic deliberation. Plato's analysis of shame offers a friendly amendment to these aesthetic critiques by showing how the psychological forces at the heart of shame make the outcome of our political engagements with others uncertain and unsettling, even while they make possible the kind of self-reflexivity necessary to foster the deliberative virtue of sincerity or truthfulness.

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)0.005
metaresearch head score (Gemma)0.007
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 score0.007
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.058
Scholarly communication0.0070.007
Open science0.0010.004
Research integrity0.0020.007
Insufficient payload (model declined to judge)0.0030.000

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 head0.085
GPT teacher head0.414
Teacher spread0.329 · 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

Citations21
Published2007
Admission routes1
Has abstractyes

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