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Record W161354843

The [Wikipedia] world is not flat: On the organizational structure of online production communities

2014· article· en· W161354843 on OpenAlexaff
Ofer Arazy, Oded Nov, Felipe Ortega

Bibliographic record

VenueJournal of the Association for Information Systems · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicWikis in Education and Collaboration
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsHierarchyPeer productionSet (abstract data type)Knowledge managementComputer scienceCorporate governanceOrganizational structurePower (physics)Production (economics)Online communityData scienceWorld Wide WebBusinessPolitical science
DOInot available

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.723
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.015
GPT teacher head0.275
Teacher spread0.260 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations17
Published2014
Admission routes1
Has abstractyes

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