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Record W4382137424 · doi:10.1017/glj.2023.38

Political Theory and the Volunteer: Lessons from Kahn’s Ethnography of ‘Our Unhappy Politics’

2023· article· en· W4382137424 on OpenAlex
Benjamin L. Berger

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

VenueGerman Law Journal · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicCritical Theory and Philosophy
Canadian institutionsYork University
Fundersnot available
KeywordsPoliticsHappinessSociologyMeaning (existential)LawFraming (construction)EthnographyDemocracyPolitical scienceAestheticsEpistemologyHistoryPhilosophyAnthropology

Abstract

fetched live from OpenAlex

Abstract This article offers a reading of Paul Kahn’s Democracy in Our America that places this intimate “work of local political theory” in a central position in the landscape of his political thought. The article argues that the figure of the volunteer, as it appears in the volume, holds a space for love and meaning—and for political happiness—that secures for it a critical role in the system of beliefs and practices that sustain self-government in the United States. That framing draws the volunteer into relationship with Kahn’s thinking about the family, the veteran, and law. But it also means that the erosion of the volunteer spirit that Kahn traces in his own New England town of Killingworth, Connecticut, is best understood as the loss of the site of action that reflects a reaching for political meaning beyond self-interest and, with it, the loss of the possibility of self-government. Reading the volunteer as a powerful placeholder for the erotic at the heart of the political—and then tracing eros and happiness through Plato, Freud, and Arendt—this article reconstructs Kahn’s link between our unhappy lives and our unhappy politics.

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)0.003
metaresearch head score (Gemma)0.000
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: Empirical
Teacher disagreement score0.529
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.044
GPT teacher head0.392
Teacher spread0.349 · 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