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Record W2121716697 · doi:10.1111/joes.12110

RADICALISM VERSUS GRADUALISM: AN ANALYTICAL SURVEY OF THE TRANSITION STRATEGY DEBATE

2015· article· en· W2121716697 on OpenAlexaboutno aff
Ichiro Iwasaki, Taku Suzuki

Bibliographic record

VenueJournal of Economic Surveys · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicCulture, Economy, and Development Studies
Canadian institutionsnot available
FundersJapan Society for the Promotion of ScienceMinistry of Education and Science
KeywordsGradualismPolitical radicalismViewpointsTransition (genetics)EconomicsCommunismSoviet unionPost communistQuarter (Canadian coin)Positive economicsPolitical sciencePoliticsLawHistory

Abstract

fetched live from OpenAlex

Abstract Academic debate on a transition strategy for former socialist economies continues even a quarter century after the collapse of the communism in Central and Eastern Europe and the former Soviet Union. In this paper, through an analytical survey of 137 preceding studies, we present an overall picture of the debate and examine the relationship between the debate attitudes and the literature attributes in related studies. We found that the radicalists maintain a consistent debate attitude from the viewpoints of time speed and policy sequence of economic transition, while the debate attitude of the gradualists is more diversified. We also found that there is another group of researchers that stays within the framework of the radicalism‐versus‐gradualism debate while at the same time keeping at arm's length from both the radicalists and the gradualists. In addition, our regression estimation of qualitative selection models provides interesting findings on the relationship between the debate attitudes and the literature attributes.

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)0.017
metaresearch head score (Gemma)0.046
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.090

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0170.046
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0120.012
Science and technology studies0.0020.003
Scholarly communication0.0040.003
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.247
GPT teacher head0.379
Teacher spread0.132 · 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

Citations11
Published2015
Admission routes1
Has abstractyes

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