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Record W1600625831

Development Success in Open Source Software Projects: Exploring the Impact of Copylefted Licenses

2005· article· en· W1600625831 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

VenueJournal of the Association for Information Systems · 2005
Typearticle
Languageen
FieldComputer Science
TopicOpen Source Software Innovations
Canadian institutionsWestern University
Fundersnot available
KeywordsOpen source softwareProductivityEthosExploratory researchKnowledge managementOpen sourceSoftware developmentProcess (computing)SoftwareOpen-source software developmentSoftware qualityBusinessEngineeringComputer sciencePolitical scienceSociology
DOInot available

Abstract

fetched live from OpenAlex

Copyleft prevents the source code of open source software (OSS) from being privately appropriated. The ethos of the OSS movement suggests that volunteer developers may particularly value and contribute to copylefted projects. Based on social movement theory, we hypothesized that copylefted OSS projects are more likely than non-copylefted OSS projects to succeed in the development process, in terms of two key indicators: developer membership and developer productivity. We performed an exploratory study using data from 62 relevant OSS projects spanning an average of three years of development time. We found that copylefted projects were associated with higher developer membership and productivity. This is the first study to empirically test the relationship between copylefted licenses and OSS project success. Implications for OSS project initiators as well as future research directions 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.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.343
Threshold uncertainty score0.896

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.006
Open science0.0020.000
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 head0.048
GPT teacher head0.304
Teacher spread0.256 · 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