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Record W2888301383 · doi:10.1177/1474885118795284

Back to the rough ground: Textual, oral and enactive meaning in comparative political theory

2018· article· en· W2888301383 on OpenAlex

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.

Bibliographic record

VenueEuropean Journal of Political Theory · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Science Research and Education
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsPoliticsEpistemologyOralitySociologyField (mathematics)Political philosophyPolitical communicationMeaning (existential)IndigenousSocial sciencePolitical scienceLawPhilosophy

Abstract

fetched live from OpenAlex

The emerging field of comparative political theory (CPT) seeks to expand our understanding of politics through intercultural dialogues between diverse systems of political thought. CPT acknowledges diverse modes of political understanding, yet the field is still methodologically focused on textual forms of political practice and learning. I argue that the privileging of political literature in CPT has been inherited from orthodox political theory and the history of political thought and that the prioritizing of text over oral and enactive practices places constraints on intercultural dialogue. First, methodological focus on texts inhibits dialogue with Indigenous traditions that do not prioritize text in the same way or to the same extent in the reproduction of political culture. Second, the incorporation of oral traditions tends to conflate orality with text in ways that obfuscate the contribution of enactive performance. One result of these methodological oversights is that CPT risks recapitulating some of the historical exclusionary logics that it seeks to overcome.

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)0.015
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
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 score0.713
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0150.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.003
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.100
GPT teacher head0.416
Teacher spread0.316 · 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