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Record W4241724597 · doi:10.1017/9781316659007

Caste, Class, and Capital

2017· book· en· W4241724597 on OpenAlex

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

VenueCambridge University Press eBooks · 2017
Typebook
Languageen
FieldEconomics, Econometrics and Finance
TopicIndian Economic and Social Development
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPoliticsCompetition (biology)Investment (military)CasteEconomicsDevelopment economicsCapital (architecture)Capital accumulationPolitical economyPolitical scienceEconomic systemMarket economyHuman capitalGeography

Abstract

fetched live from OpenAlex

For millions of poor people in the developing world, economic growth offers prospects for improved well-being. But what are the political and social conditions conducive to growth-oriented policies in poor democracies? This book addresses this highly consequential question by focusing on a specific empirical puzzle - policy variation across Indian states in the competition for private industrial investment, a phenomenon that came to the fore after the country adopted market reforms in 1991. Through the analysis of investment policies, this book offers a novel explanation, which links social identity, class, and economic policy outcomes. Its main findings highlight a link between pro-business policies and exclusionary political trends in India's high growth phase, and offer a sobering perspective on the current model of growth in the country. It adds to our understanding of Indian political economy as well as to the dynamics of economic development in poor democracies.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.849
Threshold uncertainty score1.000

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 studies0.0000.000
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 head0.026
GPT teacher head0.172
Teacher spread0.146 · 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