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Record W1511130282 · doi:10.1007/978-3-642-02032-2_17

An Empirical Study of the Reuse of Software Licensed under the GNU General Public License

2009· book-chapter· en· W1511130282 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

VenueIFIP advances in information and communication technology · 2009
Typebook-chapter
Languageen
FieldComputer Science
TopicOpen Source Software Innovations
Canadian institutionsUniversity of Victoria
FundersEuropean Commission
KeywordsLicenseOpen source softwareReuseSoftwareSoftware engineeringComputer scienceEmpirical researchWorld Wide WebEngineeringOperating systemMathematics

Abstract

fetched live from OpenAlex

Software licensing is a complex issue in free and open source software (FOSS), specially when it involves the redistribution of derived works. The creation of derivative works created from components with different FOSS licenses poses complex challenges, particularly when one of the components is licensed under the terms of one of the versions of the GNU General Public License (GPL). This paper describes an empirical study of the manner in which GPLed licensed software is combined with components under different FOSS licenses. We have discovered that FOSS software developers have found interesting methods to create derivative works with GPLed software that legally circumvent the apparent restrictions of the GPL. In this paper we document these methods and show that FOSS licenses interact in complex and unexpected ways. In most of these cases the goal of the developers (both licensors and licensees) is to further increase the commons of FOSS.

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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.637
Threshold uncertainty score0.833

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.002
Open science0.0040.001
Research integrity0.0000.001
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 head0.020
GPT teacher head0.300
Teacher spread0.280 · 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