Users as Co-Designers of Software-Based Media: The Co-Construction of Internet Relay Chat
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.016 | 0.028 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.006 | 0.002 |
| Science and technology studies | 0.014 | 0.043 |
| Scholarly communication | 0.017 | 0.018 |
| Open science | 0.002 | 0.019 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".