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Record W2153044439 · doi:10.22230/cjc.2014v39n4a2783

Users as Co-Designers of Software-Based Media: The Co-Construction of Internet Relay Chat

2014· article· en· W2153044439 on OpenAlexaffvenue
Guillaume Latzko-Toth

Bibliographic record

VenueCanadian Journal of Communication · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Media and Politics
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsOpenness to experienceAgency (philosophy)Process (computing)The InternetRelayComputer scienceSoftwareWorld Wide WebDigital mediaCo-creationMultimediaSociologyPsychology

Abstract

fetched live from OpenAlex

While it has become commonplace to present users as co-creators or “produsers” of digital media, their participation is generally considered in terms of content production. The case of Internet Relay Chat (IRC) shows that users can be fully involved in the design process, a co-construction in the sense of Science and Technology Studies (STS): a collective, simultaneous, and mutual construction of actors and artifacts. A case study of the early development of two IRC networks sheds light on that process and shows that “ordinary users” managed to invite themselves as co-designers of the socio-technical device. The article concludes by suggesting that IRC openness to user agency is not an intrinsic property of software-based media and has more to do with its architecture and governance structure.

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 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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation 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 score0.538
Threshold uncertainty score0.963

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
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 science0.0010.000
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 head0.027
GPT teacher head0.303
Teacher spread0.276 · 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 teacher head, 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

Citations15
Published2014
Admission routes2
Has abstractyes

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