Communicative genres as organising structures in online communities – of team players and storytellers
Bibliographic record
Abstract
Abstract In this paper, we examine the question of how participants in online communities enact organising structures. We conduct an empirical study based on interpretative and quantitative data and analysis, and argue that communicative genres fulfil the role of intangible organising structures in online communities. These structures are important in the absence of more formal or tangible structures. Furthermore, we take into account participants' position in the social network and find that distinct participant clusters use communicative genres quite differently. In particular, we distinguish four participant clusters using distinct genre repertoires: team players, who make short, advising messages; storytellers, who post less but longer and very social messages; utility posters, who share knowledge but neglect social interaction; and all‐round talents, who engage in various actions and have average messages, without blinking out in any activity. With this research, we provide an analytical tool that allows practitioners to assess community activities, and inform and evaluate strategies for change toward improved outcomes.
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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 | 0.005 | 0.025 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
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".