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Record W1572517854 · doi:10.19173/irrodl.v8i3.496

The Emergence of Open-Source Software in North America

2007· article· en· W1572517854 on OpenAlexaffvenue
Guohua Pan, Curtis J. Bonk

Bibliographic record

VenueThe International Review of Research in Open and Distributed Learning · 2007
Typearticle
Languageen
FieldComputer Science
TopicOpen Education and E-Learning
Canadian institutionsMacEwan University
Fundersnot available
KeywordsTimelineOpen source softwareComputer scienceOpen sourceOpen-source software developmentWorld Wide WebSoftware developmentSoftwareSoftware engineeringSoftware analyticsData scienceSoftware constructionOperating system

Abstract

fetched live from OpenAlex

Unlike conventional models of software development, the open source model is based on the collaborative efforts of users who are also co-developers of the software. Interest in open source software has grown exponentially in recent years. A Google search for the phrase open source in early 2005 returned 28.8 million webpage hits, while less than two years later that number had jumped to 376 million. This paper discusses the origin of the term open source and the key tenets of the open source software development model. In addition, it analyzes the merits and drawbacks of using this model and discusses the advantages and disadvantages of applying the model in higher education. Importantly, examples are provided of computer software, and course management systems in particular, developed using the open source model. Also included are brief analyses of the Linux operating system, and two open source course management systems, Sakai and Moodle, as well as the uPortal. A timeline of major open source projects of significance in North America is provided. The paper concludes with a discussion of the potential for applying the open source software development model to open and distance education.

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)0.009
metaresearch head score (Gemma)0.004
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 score0.724
Threshold uncertainty score0.880

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0050.003
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 head0.070
GPT teacher head0.437
Teacher spread0.367 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations20
Published2007
Admission routes2
Has abstractyes

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