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Record W2161711585 · doi:10.1016/s0967-067x(01)00027-7

Transformation theory: scientific or political?

2002· article· en· W2161711585 on OpenAlexaff
Andreas Pickel

Bibliographic record

VenueCommunist and Post-Communist Studies · 2002
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Conflict and Governance
Canadian institutionsTrent University
Fundersnot available
KeywordsConstructiveTransformation (genetics)PoliticsSystems theory in political scienceEpistemologySocial transformationSociologyProcess (computing)Scientific theorySocial sciencePolitical sciencePolitical philosophySocial changeComputer scienceLawPhilosophy

Abstract

fetched live from OpenAlex

This essay argues that the search for a scientific theory of transformation is ill-conceived. Postcommunist transformation is not a scientific project but a political project. It therefore requires a political theory rather than a scientific theory of transformation. The distinction is important because social scientists as political actors have played a siginificant role in the transformation process. Several examples are provided to illustrate the relationship between social science and transformation. In political theories of transformation, social science knowledge is subordinated and instrumental. This does not reduce the significance of social science, but rather reconceptualizes it. The legitimate functions of social science in transformation theory have critical, constructive and applied dimensions.

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)0.009
metaresearch head score (Gemma)0.010
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: Empirical · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.050

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.004
Science and technology studies0.0030.050
Scholarly communication0.0090.014
Open science0.0020.005
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0070.001

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 head0.119
GPT teacher head0.369
Teacher spread0.249 · 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
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

Citations21
Published2002
Admission routes1
Has abstractyes

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