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Record W2024570877 · doi:10.1257/app.4.2.274

Castes and Labor Mobility

2012· article· en· W2024570877 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

VenueAmerican Economic Journal Applied Economics · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicSocial and Economic Development in India
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsConsumption (sociology)WageDisadvantagedDemographic economicsConvergence (economics)EconomicsEducational attainmentSample (material)Labour economicsDistribution (mathematics)Survey samplingDemographyEconomic growthSociologyPopulationSocial scienceMathematics

Abstract

fetched live from OpenAlex

We examine the relative fortunes of the historically disadvantaged scheduled castes and tribes (SC/ST) in India in terms of their education attainment, occupation choices, consumption and wages. We study the period 1983–2005 using household survey data from successive rounds of the National Sample Survey. We find that this period has been characterized by a significant convergence of education, occupation distribution, wages and consumption levels of SC/STs toward non-SC/ST levels. Using various decomposition approaches we find that the improvements in education account for a major part of the wage and consumption convergence. (JEL I24, O15, O17, Z13)

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.535
Threshold uncertainty score0.859

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.013
GPT teacher head0.258
Teacher spread0.245 · 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