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Record W1879492258 · doi:10.19173/irrodl.v6i1.213

Open Source Software: Fully featured vs. "the devil you know"?

2005· article· en· W1879492258 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.
fundA Canadian funder is recorded on the work.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueThe International Review of Research in Open and Distributed Learning · 2005
Typearticle
Languageen
FieldComputer Science
TopicOpen Source Software Innovations
Canadian institutionsAthabasca University
FundersAthabasca University
KeywordsOpen source softwareComputer scienceSoftwareOpen sourceNeed to knowWorld Wide WebMultimediaData scienceComputer securityOperating system

Abstract

fetched live from OpenAlex

The ILIAS learning management system (LMS) was evaluated, following its favourable rating in an independent evaluation study of open source software (OSS) products. The current review found ILIAS to have numerous features of value to distance education (DE) students and teachers, as well as problems for consideration in the system's ongoing development. The current findings were compared with DE students' reactions to a similar LMS product, ATutor, also rated highly in the independent OSS evaluation. In comparing an ATutor course website with a simple HTMLbased version of the same site, the ten students voted unanimously to retain the simpler site. This result is consistent with previous evaluation findings in the current series of reports, and indicates that increasing integration of product features does not necessarily improve a product's ease of use or educational effectiveness.

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)0.011
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication, Open science
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.910
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0100.008
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 head0.058
GPT teacher head0.407
Teacher spread0.349 · 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