On the "How" and "Why" of Emergent Role Behaviors in Wikipedia
Bibliographic record
Abstract
Research on peer-production suggests that as participants choose what actions to perform, prototypical activity patterns emerge. Recent work characterized these patterns and demonstrated that informal emergent roles are highly stable. Nonetheless, we know little about the ways in which contributors take on and shed emergent roles. The objectives of this study are to: (a) delineate the temporal dynamics of participants' emergent role taking behaviors, and (b) identify the motivations driving role-transition behaviors. Our study links motivation to role-transition behaviors within Wikipedia. Our first sample covered eleven years and 222,119 contributors, and was used to identify four categories of temporal role-taking behaviors, that differ in their mobility between emergent roles and across Wikipedia articles. Our second examination linked the motivations of 175 new participants to their subsequent role-taking activity over 14 months. Together, the two analyses reveal that role-taking categories can be distinguished based on participants' motivational orientation (intrinsic/extrinsic and self/others-oriented).
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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 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.000 | 0.001 |
| 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".