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Record W4398133488 · doi:10.1086/730229

Demarcating a Pure Land: CFido as a Cyberspace for Computer Amateurs in 1990s China

2024· article· en· W4398133488 on OpenAlexaff
Wen-Ching Sung, Chen‐Pang Yeang, Zhixiang Cheng

Bibliographic record

VenueIsis · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicDigital Games and Media
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsCyberspaceChinaPure landGeographyComputer scienceThe InternetArchaeologyWorld Wide Web

Abstract

fetched live from OpenAlex

The bulletin board system (BBS) significantly changed the production and transmission of knowledge in China’s information technology (IT). Launched in 1991, Chinese FidoNet (CFido) provided a virtual space for hobbyists to explore technology-for-fun and aggregated many future Chinese digital entrepreneurs, enabling them to experiment with business models and pursue open-source software with Chinese characters. CFido’s short history (1991–1998) also encapsulates the fast-changing dynamic between knowledge and its social context. CFido participants first perceived the BBS as a utopian “pure land” where grassroots intellectuals could develop software and digital technologies, free from outside interests and interventions. Yet the beginning of government control of cyberspace, the boom of the IT industry and e-commerce, and the transition from the dial-up BBS to the Internet led the CFidoers to diverging positions about amateurs and ultimately brought CFido to an end.

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)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.079
Threshold uncertainty score0.157

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.002
Science and technology studies0.0230.020
Scholarly communication0.0100.008
Open science0.0010.007
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0050.000

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 head0.012
GPT teacher head0.313
Teacher spread0.302 · 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 designQualitative
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
Published2024
Admission routes1
Has abstractyes

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