MétaCan
Menu
Back to cohort
Record W2176078758 · doi:10.15173/mjc.v10i0.281

Agonistic Justice: Difference and Persuasion in Political Theory

2014· article· en· W2176078758 on OpenAlex
Aaron Lauretani

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueThe McMaster Journal of Communication · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Philosophy and Ethics
Canadian institutionsYork University
Fundersnot available
KeywordsPersuasionNormativeRationalityEconomic JusticePoliticsEpistemologyPsychologySocial psychologySociologyPolitical scienceLawPhilosophy

Abstract

fetched live from OpenAlex

This paper is intended to engage the question of persuasion in a new way. Rather than isolating persuasion and examining its normative aspects independently, this paper situates persuasion alongside an understanding of difference. By understanding difference and persuasion together, the way we think of persuasion can be importantly transformed. If the conclusions of this paper are taken seriously, we will see that persuasion needs to be managed, rather than eliminated, yet not because of any external moral standard. Rather, the management of persuasion now follows from the necessity of persuasion as a supplement to impartial rationality. Normative questions about persuasion can now be understood as inextricably linked to the question of whether a theory understands and recognizes its own limitations; recognizes the difference within itself that precludes any chance of grounding questions in absolute answers. By recognizing that persuasion is a necessary structural feature of any rational theory, more meaningful conclusions about persuasion itself can be drawn.

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.

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)0.004
metaresearch head score (Gemma)0.002
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: Empirical
Teacher disagreement score0.513
Threshold uncertainty score0.280

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.061
GPT teacher head0.354
Teacher spread0.293 · 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