The [Wikipedia] world is not flat: On the organizational structure of online production communities
Bibliographic record
Abstract
The creation and maintenance of online production communities depend on the complex ecology created by the interaction of social roles, and these roles are essential for the governance of the community. This study investigates the organizational structure of one of the most notable peer-production projects: Wikipedia. While online communities have often been depicted as "˜flat´ and egalitarian, recent studies of Wikipedia suggest that it has developed a cumbersome beaurocratic structure that includes a hierarchy of organizational role. The objective of this study is, thus, to empirically study the organization of roles in Wikipedia and the hierarchy formed through their power relationships. Our research method employs Wikipedia´s formal set of access privileges as indicators of roles, and analyses all 4,902,643 Wikipedia members (of which 10,496 hold special access privileges). Applying statistical techniqus traditionally employed to validate the psychometric properties of scales, we find that Wikipedia has an intricate ecology of roles. Our analysis of power relationships within these twelve roles reveals Wikipedia´s organizational hierarchy. Implications for theory and practice are discussed.
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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 | 0.003 | 0.026 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.002 | 0.006 |
| Scholarly communication | 0.004 | 0.006 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 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".