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Record W2266265284 · doi:10.1515/bis-2015-0019

Capitalism in the Twenty-First Century: An Overview

2015· article· en· W2266265284 on OpenAlexaff
George Grantham

Bibliographic record

VenueBasic Income Studies · 2015
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic theories and models
Canadian institutionsMcGill University
Fundersnot available
KeywordsCapitalismBasic incomeEconomicsNeoclassical economicsEconomic systemMarket economyPolitical sciencePoliticsLaw

Abstract

fetched live from OpenAlex

Abstract Thomas Piketty’s capitalism in the twenty-first century is arguably the most significant book in empirical economics since Simon Kuznets’s Modern Economic Growth (1966) and, on a theoretical plane, since Keynes’s General Theory (1936). Like Kuznets’s masterpiece, this massive report on long-term trends in shares of income and wealth in the top decile and centile percent of their distribution quantifies a crucial and until now underreported dimension of aggregate economic performance. Like Keynes’s, it raises fundamental questions about economics conceived as a science uniquely concerned with the allocation of scarce resources regardless of how the resources are distributed among individuals. Piketty’s study focuses on that distribution, and in particular the share of the 10% of individuals who currently own 50–60% of private wealth in western societies and take home 35–50% of the national income (Piketty, 2014, pp. 247–249). The findings are new.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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: Review · Consensus signal: Review
Teacher disagreement score0.006
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0060.009
Science and technology studies0.0010.004
Scholarly communication0.0040.005
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.001

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 head0.137
GPT teacher head0.295
Teacher spread0.158 · 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 source (direct Gemma or distilled Codex), not a consensus.

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

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

Citations4
Published2015
Admission routes1
Has abstractyes

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