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Record W2135493587

The Legal Issues Surrounding Free and Open Source Software: Challenges and Solutions for the Government of Québec

2006· preprint· en· W2135493587 on OpenAlexaboutno aff
Pierre-Paul Lemyre, Richard Willemant

Bibliographic record

VenueRePEc: Research Papers in Economics · 2006
Typepreprint
Languageen
FieldComputer Science
TopicOpen Source Software Innovations
Canadian institutionsnot available
Fundersnot available
KeywordsGovernment (linguistics)Openness to experienceLaw and economicsBusinessLiabilitySource codeService (business)Public relationsComputer securityLawInternet privacyPolitical scienceComputer scienceMarketingEconomics
DOInot available

Abstract

fetched live from OpenAlex

The Government of Québec is slowly but surely turning its attention to the issue of free and open source software in response to the interest shown by Québec's software industry and the attention paid to the phenomenon by governments around the world. This openness is easy to understand given an environment in which online service provision to citizens must be enhanced while minimizing expenditures on technology, curtailing service providers' control over the administration, and promoting the development of the information society in Québec. Nonetheless, as we see in the news, adoption of this new attitude toward to software development is not always immune to legal challenges. Consequently, the manner in which Québec law interacts with free and open source software, as well as the associated risks, assume a particular significance. The analysis we present here reveals that the law, as it currently stands in Québec, appears adequate to effectively address the various legal issues inherent in the use of free and open source software. First of all, no legal rule seems to be incompatible with the validity of free and open source licences, despite that fact that few of them were designed with the Québec legal system in mind. Moreover, both federal copyright rules and Québec regulations affecting contractual liability allow the authors and users of free and open source software to effectively preserve the freedom of computer code, which is typically the purpose of free and open source licences.Nonetheless, it remains the case that some legal risks are associated with free and open source software. These risks may arise from the formalism requirements included in the Copyright Act, prior violations of intellectual property rights by third parties, or simply from the broader contractual protection afforded to licensors. Consequently, integrating free and open source software into the technology strategy of the Government of Québec requires setting up some initiatives to allow these risks to be mitigated as much as possible and to enable the management of those risks that cannot be completely eliminated.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.023
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesOpen science
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.996
Threshold uncertainty score0.986

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.023
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0030.003
Science and technology studies0.0210.010
Scholarly communication0.0220.005
Open science0.0040.003
Research integrity0.0080.006
Insufficient payload (model declined to judge)0.0110.001

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 head0.060
GPT teacher head0.322
Teacher spread0.262 · 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 source (direct Gemma or distilled Codex), not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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

Citations1
Published2006
Admission routes1
Has abstractyes

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