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Record W2163469910 · doi:10.1177/0010414004273505

Information Technology, Public Space, and Collective Action in China

2005· article· en· W2163469910 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueComparative Political Studies · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Media and Politics
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsThe InternetAuthoritarianismDemocracyPoliticsChinaContext (archaeology)Collective actionPolitical scienceSociology of the InternetPublic relationsPublic spaceInformation societySociologyAction (physics)State (computer science)Internet researchLawEngineeringComputer science

Abstract

fetched live from OpenAlex

The Internet has stimulated academic inquiries on the political implications of the Internet revolution. A great deal of attention has been focused on the following: Has the Internet altered the nature of interaction between the state and society? Will the Internet ultimately be able to promote the democratic transition of existing authoritarian political systems? This article attempts to address these two questions based on an empirical study of the situation in China. The article explores the democratic implications of the Internet in the context of the interplay between the state and society by setting up a three-layered analytical framework, that is, the Internet as a tool for communication, the Internet as public space, and the Internet as a means for collective action. In China, the impact of the Internet on democratic transition differs at each of these three layers, depending on the interaction strategies between the state and society.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.638
Threshold uncertainty score0.460

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.134
GPT teacher head0.433
Teacher spread0.300 · 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