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Record W4229685208 · doi:10.1257/jel.55.4.1615.r6

Book Reviews

2017· article· en· W4229685208 on OpenAlexaboutno aff

Bibliographic record

VenueJournal of Economic Literature · 2017
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal trade and economics
Canadian institutionsnot available
Fundersnot available
KeywordsProductivityEconomicsMultifactor productivityLatin AmericansChinaCompetition (biology)Capital (architecture)International tradeEconomyTotal factor productivityEconomic growthPolitical scienceGeography

Abstract

fetched live from OpenAlex

Markus Poschke of McGill University reviews “The World Economy: Growth or Stagnation?” by Dale W. Jorgenson, Kyoji Fukao, and Marcel P. Timmer. The Econlit abstract of this book begins: “Fourteen papers analyze the long-term process of structural change and productivity growth across the world using World KLEMS (capital, labor, energy, materials, and purchased services) Initiative research and provide comparisons of industries and economies in order to investigate the impact of international trade and investment. Papers discuss US economic growth—a retrospect, prospect, and lessons from a prototype industry-level production account for the United States, 1947–2012; the structural causes of Japan's lost decades; productivity growth in Europe before and since the 2008–09 economic and financial crisis; Latin American KLEMS (LA–KLEMS)—economic growth and productivity in Latin America; China's strategic move for a new stage of development—a productivity perspective; productivity growth in India under different policy regimes; whether mining is fueling long-run growth in Russia—industry productivity growth trends in 1995–2012; intangibles, information and communications technology, and industry productivity growth—evidence from the European Union; whether intangibles contribute to productivity growth in East Asian countries—evidence from Japan and the Republic of Korea; a Bureau of Economic Analysis–Bureau of Labor Statistics industry-level production account for the United States—integrated sources of growth, intangible capital, and the US recovery; measuring human capital—country experiences and international initiatives; a half-century of trans-Pacific competition—price-level indices and productivity gaps for Japanese and US industries, 1955–2012; searching for convergence and its causes—an industry perspective; and the rise of global manufacturing value chains—a new perspective based on the World Input–Output Database. Jorgenson is Samuel W. Morris University Professor at Harvard University. Fukao is Professor with the Institute of Economic Research at Hitotsubashi University and Program Leader at the Research Unit for Statistical and Empirical Analysis. Timmer is Professor of Economic Growth and Development and Director of the Groningen Growth and Development Centre at the University of Groningen. ”

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)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.533
Threshold uncertainty score0.761

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.004
Science and technology studies0.0010.001
Scholarly communication0.0060.004
Open science0.0020.002
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.4670.472

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 head0.062
GPT teacher head0.251
Teacher spread0.189 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2017
Admission routes1
Has abstractyes

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