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Record W2171967784 · doi:10.1017/s0010417504230109

Julia Adeney Thomas, <i>Reconfiguring Modernity: Concepts of Nature in Japanese Political Ideology.</i> Berkeley: University of California Press, 2002, 254 pp.

2004· article· en· W2171967784 on OpenAlexaff

Bibliographic record

VenueComparative Studies in Society and History · 2004
Typearticle
Languageen
FieldSocial Sciences
TopicJapanese History and Culture
Canadian institutionsMcGill University
Fundersnot available
KeywordsModernityPoliticsIdeologyAgency (philosophy)NarrativeDialecticSociologyOpposition (politics)Environmental ethicsSovereigntyPolitical scienceAestheticsPhilosophyEpistemologyLaw

Abstract

fetched live from OpenAlex

One of the key narratives of political modernity is that of the emergence of human agency in constructing the social order, with theories of divine origins giving way to the notion of humans as lawmakers. While such narratives often center on the death of God and the wresting of sovereignty from monarchs, Reconfiguring Modernity reminds us that they also tend to establish another adversary: nature. Modernity is commonly thought of as a linear movement away from nature or as a dialectical overcoming of nature, which establishes human agency and freedom over and against nature. The prime example for Thomas is Maruyama Masao, a renowned political philosopher who attributed Japan's militaristic nationalism to its failure to establish the primacy of invention or human agency over nature. Thomas questions this conception of modernity based on an opposition between human agency and nature. It is not by negating or overcoming nature that modern political freedoms emerge, she argues. Rather political freedoms come of specific ideological configurations of nature (cosmos) and society (polis). Reconfiguring Modernity thus turns to the history of the idea of nature in Japanese political thought to reconsider the formation of modernity in Japan.

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 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)0.000
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.420
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.005
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.067
GPT teacher head0.333
Teacher spread0.266 · 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 teacher head, not a consensus.

Study designQualitative
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

Citations0
Published2004
Admission routes1
Has abstractyes

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