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Record W3165622424 · doi:10.1177/08969205211013884

Passive Revolution in Japan: The Restoration of Hegemony under Abe?

2021· article· en· W3165622424 on OpenAlexfundno aff
Myles Carroll

Bibliographic record

VenueCritical Sociology · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicChina's Socioeconomic Reforms and Governance
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsHegemonyPolitical economyPoliticsDominance (genetics)SociologyPolitical scienceEconomicsDevelopment economicsLaw

Abstract

fetched live from OpenAlex

This article draws on Gramsci’s theory of passive revolution to explore the second tenure of Japanese Prime Minister Abe Shinzō from 2012 to 2020. It sees the high degree of political stability that Abe achieved as a contrast to the preceding two decades of Japanese politics and asks what accounts for Abe’s success in restoring Liberal Democratic Party’s (LDP) dominance in an era of enduring economic and social crisis. The article argues that Abe executed a strategy of passive revolution that incorporated two “faces”: an “outward” face oriented around consent and an “inward” face rooted in coercion. The former involved economic policies (in particular “Abenomics”) designed to appear capable of resolving chronic economic stagnation, growing inequality and other social and economic problems, restoring popular support for the LDP without undermining conditions for capital accumulation or empowering subaltern classes. In contrast, the latter involved various low-profile security and administrative policies that enabled the Abe government to dramatically increase its power while silencing or disarming potential rivals and critics. The article sees this two-sided strategy of passive revolution as effective in restoring LDP dominance but unlikely to prove the basis for a more expansive hegemony or a resolution to Japan’s organic crisis.

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)0.001
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 score0.303
Threshold uncertainty score0.507

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 science0.0000.000
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 head0.025
GPT teacher head0.340
Teacher spread0.315 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations5
Published2021
Admission routes1
Has abstractyes

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