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Record W4414766612 · doi:10.5539/ass.v21n5p30

Contemporary Debate on the Communication of Public Sociology in China

2025· article· en· W4414766612 on OpenAlexvenueno aff
Yuting Xie, Megat Al Imran Yasin, Syed Agil Alsagoff, Lay Hoon Ang

Bibliographic record

VenueAsian Social Science · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicContemporary Sociological Theory and Practice
Canadian institutionsnot available
Fundersnot available
KeywordsPublic sociologyViewpointsConversationDisciplineChinaContext (archaeology)Sociology of disaster

Abstract

fetched live from OpenAlex

Public sociology, emphasises expanding the disciplinary boundaries of sociology and bringing sociology into a conversation with public or non-academic audiences. It strives to make sociological knowledge understandable and relevant to a wider audience, moving beyond specialized academic language. Since the notion of public sociology was proposed by British sociologist Michael Burawoy in 2004, it has triggered a heated debate around the world. In China, aiming at the issue of the communication of public sociology, many scholars participate in discussions, and their standpoints mainly include supportive, oppositional, and neutral standpoints. This study analyzes their viewpoints respectively and provides certain interpretations on the basis of the development of Chinese sociology. Through analyzing the contemporary debate around local communication of public sociology, this study expects to provide a reference for its communication or spreading in China without losing the considerations of local context and corresponding challenges, thereby advancing the development and progress of society in the future.

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)0.006
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.022
Threshold uncertainty score0.121

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0090.012
Scholarly communication0.0070.005
Open science0.0010.003
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.094
GPT teacher head0.381
Teacher spread0.287 · 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
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

Citations0
Published2025
Admission routes1
Has abstractyes

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