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Record W4388194767 · doi:10.1007/s11123-023-00696-x

On the problem of the purchasing power of money by A. A. Konüs and S. S. Byushgens: translation and commentary

2023· article· en· W4388194767 on OpenAlexaff
Erwin Diewert, Valentin Zelenyuk

Bibliographic record

VenueJournal of Productivity Analysis · 2023
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic theories and models
Canadian institutionsUniversity of British Columbia
FundersUniversity of Queensland
KeywordsMathematical economicsIndex (typography)Bridge (graph theory)Field (mathematics)Purchasing powerDuality (order theory)Power (physics)EconomicsWork (physics)Neoclassical economicsComputer scienceMathematicsPure mathematicsMacroeconomics

Abstract

fetched live from OpenAlex

Abstract In 1939, Econometrica published an English translation of Konüs (1924). Since then, Konüs (1924 [1939]) has become a classic work on the theory of the cost of living index, inspiring many other studies in the field. On the other hand, very few scholars have had the opportunity to read another, equally important, work by Konüs (co-authored with Byushgens) published in 1926 by the same Institute. This other paper of Konüs also pioneered several fundamental concepts and results in economics (including duality theory, the theory of inverse demand functions and the theory of exact index numbers), yet somehow it appears that it has never been translated into English (or any other language). We bridge this gap by offering a translation and a commentary on this important paper.

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)0.006
metaresearch head score (Gemma)0.042
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.024
Threshold uncertainty score0.080

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.042
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0030.004
Science and technology studies0.0040.011
Scholarly communication0.0060.006
Open science0.0050.002
Research integrity0.0200.022
Insufficient payload (model declined to judge)0.0060.003

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 head0.210
Teacher spread0.184 · 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 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

Citations5
Published2023
Admission routes1
Has abstractyes

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