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The Economic Consequences of Authoritarian Neoliberalism in India

2023· article· en· W4384914379 on OpenAlex
Paramjit Singh

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

VenueWorld Review of Political Economy · 2023
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Theory and Policy
Canadian institutionsYork University
Fundersnot available
KeywordsAuthoritarianismNeoliberalism (international relations)AusterityPolitical economyAllianceState (computer science)Capital (architecture)DemocracyEconomicsEconomic systemPolitical scienceDevelopment economicsPoliticsLaw

Abstract

fetched live from OpenAlex

This article examines the complex relationship between right-wing authoritarianism and neoliberalism in India. It explores the consequences of the right-wing authoritarian electoral majority and its alliance with neoliberal forces on democracy, economic development and distributive justice in India. It attributes the decline in economic growth, widespread unemployment, and precariousness of labor market to the alliance between right-wing extremist forces and neoliberal capital. It specifically exposes the colossal economic muddle created by austerity measures and the retreat of the state from distributional spheres. It argues that authoritarian shocks injected by the state have played a decisive role in expanding the network of primitive accumulation through widespread displacement and dispossession of petty and small producers.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.968
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.028
GPT teacher head0.281
Teacher spread0.253 · 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