Towards an Interdisciplinary Socio-Technical Definition of Virtual Communities
Bibliographic record
Abstract
The objective of this chapter is to offer a holistic perspective of virtual communities (VCs) by outlining their underlying concepts and fundamental properties. Firstly, the chapter offers a brief synopsis of research fields that form the basis of socio-technical research on VCs. Key issues and theoretical orientations from four research streams are discussed, namely sociological/psychological, technological, business/management, and economic perspectives. Following this review, the chapter provides a summary of four interdisciplinary literature domains that have significantly contributed to the body of knowledge on VCs. These include computer-mediated communication, community informatics, knowledge management, and internet marketing. Definitions from seminal research studies in these domains are subsequently synthesized to propose an interdisciplinary socio‐technical definition of VCs. The proposed definition offers a nascent ascriptive characterization of VCs along five dimensions of participants, purpose, platforms, protocols, and persona, together constituting the 5 Ps of VCs.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".