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Record W2111299150 · doi:10.1177/0090591704265729

The Force of Political Argument

2004· article· en· W2111299150 on OpenAlexaff
Davide Panagia

Bibliographic record

VenuePolitical Theory · 2004
Typearticle
Languageen
FieldSocial Sciences
TopicCritical Theory and Philosophy
Canadian institutionsTrent University
Fundersnot available
KeywordsArgument (complex analysis)ContradictionPoliticsPerformative utteranceDemocracyEpistemologySociologyCriticismAestheticsIdeal (ethics)Political philosophyPhilosophySincerityLawPolitical science

Abstract

fetched live from OpenAlex

In this essay, the author examines the tensions that emerge between the practice of essay writing and a commitment to philosophical justification as themodel for political argument in contemporary political thought. He focuses on Jürgen Habermas’s adoption of the performative contradiction as an ideal for communicative exchange and shows the unacknowledged role that sincerity plays in Habermas’s argument. He then links this account to his explorations of the rise of aesthetic criticism in the eighteenth and nineteenth centuries and its contribution to democratic thought. Turning to one of the key literary and political critics of the period, William Hazlitt, the author shows how his theory of essay composition lends itself to a radical democratic imaginary that complicates the account of political argument Habermas sets out. Hazlitt’s essays, the author concludes, are exemplary in their embracing of contradiction as a condition of democratic life.

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)0.029
metaresearch head score (Gemma)0.052
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 score0.029
Threshold uncertainty score0.154

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0290.052
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.002
Science and technology studies0.0090.062
Scholarly communication0.0190.020
Open science0.0020.008
Research integrity0.0090.011
Insufficient payload (model declined to judge)0.0080.002

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 head0.029
GPT teacher head0.349
Teacher spread0.320 · 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

Citations7
Published2004
Admission routes1
Has abstractyes

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