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Record W632010097

Межстрановой Анализ Отраслевой Производительности Труда В 1991-2008 Годах [International comparisons of sectoral labor productivity in 1991-2008 period]

2013· article· ru· W632010097 on OpenAlexaboutno aff
Alexander Zaytsev

Bibliographic record

VenueMPRA Paper · 2013
Typearticle
Languageru
FieldEconomics, Econometrics and Finance
TopicEconomic and Technological Innovation
Canadian institutionsnot available
Fundersnot available
KeywordsProductivityAgricultureChinaAgricultural economicsValue (mathematics)FishingBusinessEconomyEconomicsEconomic geographyGeographyEconomic growthPolitical science
DOInot available

Abstract

fetched live from OpenAlex

The article presents labor productivity estimates from 1991 to 2008 for 17 countries on industry ISIC. 3 - level. The group of countries includes USA, Canada, Brazil, Russia, Japan, China, Australia and number of major European economies. The goal is to investigate Russia`s industries comparative progress, productivity gap changes and asses possible sources for technology borrowing. In contrast to previous works analysis captures dynamics of wider country grouping on more detailed industry level. Productivity is calculated as value added per hour worked for the following industries: agriculture, hunting, forestry and fishing (A+B), mining, electricity, gas and water supply (C+E), manufacturing (D), construction (F), wholesale and retail trade, hotels and restaurants (G+H), transport (I) and others (J-P).

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.002

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 head0.034
GPT teacher head0.229
Teacher spread0.195 · 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 designObservational
Domainnot available
GenreEmpirical

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

Citations1
Published2013
Admission routes1
Has abstractyes

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