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Record W4320034209 · doi:10.25180/lj.v24i2.305

Hermeneutic courage. What Gadamer (and Arendt) can tell us about political thinking

2022· article· en· W4320034209 on OpenAlexaff
Sam McChesney

Bibliographic record

VenueLabyrinth · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicHannah Arendt's Political Philosophy
Canadian institutionsScience North
Fundersnot available
KeywordsCourageEpistemologyPoliticsPolitical philosophyRelation (database)ConversationOptimal distinctiveness theoryPhilosophyField (mathematics)SociologyLawPolitical sciencePsychologySocial psychologyTheology

Abstract

fetched live from OpenAlex

Hans-Georg Gadamer, despite his exchanges with and reception by major figures in the field of political theory, is often thought of as a philosopher as opposed to a political theorist. For instance, the title of one of his essays, "On the Political Incompetence of Philosophy," is sometimes taken to indicate that Gadamer thought of his own philosophy as "politically incompetent" (Code 2003, 15). In this paper, I argue that Gadamer's hermeneutic philosophy is deeply concerned with our relation to the political world. To bring out these political concerns, I put Gadamer in conversation with Hannah Arendt, who overtly disavowed philosophy in favor of political theory. I show that Gadamer and Arendt share many of the same worries about the solitary model of much philosophy – particularly that of Heidegger – and that both try to promote a more involved, worldly mode of thinking. For Arendt, this mode of thinking attends in large part to the newness and distinctiveness of other people, whereas Gadamer emphasizes what other people say and how we must relate to them if we are to understand what they are telling us. I argue that although these are complementary ways of addressing political thinking, one important advantage of Gadamer's account is the way it brings into view the centrality of courage for understanding our shared political world. Because understanding frequently requires that we question our identities and renegotiate our existing relation to the world in often uncomfortable ways, political thinking involves what I call "hermeneutic courage.".

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)0.004
metaresearch head score (Gemma)0.012
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: Other · Consensus signal: Other
Teacher disagreement score0.012
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.012
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0070.046
Scholarly communication0.0120.022
Open science0.0010.005
Research integrity0.0060.009
Insufficient payload (model declined to judge)0.0050.001

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 head0.022
GPT teacher head0.298
Teacher spread0.277 · 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
GenreOther

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".

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Citations0
Published2022
Admission routes1
Has abstractyes

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