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Record W4206277623 · doi:10.1590/s0034-759020220104

TRANSFORMATION OF FREE AND OPEN SOURCE SOFTWARE DEVELOPMENT PROJECTS: GOVERNANCE BETWEEN THE CATHEDRAL AND BAZAAR

2022· article· en· W4206277623 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueRevista de Administração de Empresas · 2022
Typearticle
Languageen
FieldComputer Science
TopicOpen Source Software Innovations
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsBazaarFormalityCorporate governanceBureaucracyBusinessKnowledge managementProcess managementManagementPolitical scienceComputer scienceEconomicsLawGeography

Abstract

fetched live from OpenAlex

ABSTRACT It is common for community-based free software projects to be associated with an organizational scenario that resembles “a bazaar more than a cathedral,” and to differ from the traditional, or ‘bureaucratic’ way of organizing work. This paper analyzes the governance of these organizations from the perspective of their structure and control, considering the development trajectory of three community-based free software projects in Brazil. Results show that the constant need to produce modern technologies gives rise to external pressures that promote change - albeit temporary - in the governance of these projects, making them resemble a cathedral more than a bazaar. Governance does not follow a cycle of sequential improvement; it changes depending on the external organizational actors present, such as sponsors. This suggests the need for strategic and flexible governance to deal with the acquisition and allocation of organizational resources. Governance of the projects described here varies along a spectrum of (in)formality that allows both production models - cathedral or bazaar - to exist in the same organization at different periods.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.665
Threshold uncertainty score0.577

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0020.001
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 head0.030
GPT teacher head0.279
Teacher spread0.248 · 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