How a FIRM (Flexibility, Innovation, Robustness, and Maturity)Argument for FOSS (Free and Open Source Software) Can \nDisplace FUD (Fear, Uncertainty, and Doubt)
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.
Bibliographic record
Abstract
This paper discusses how a coalition of Athabasca University (AU) faculty successfully promoted Moodle, an open source learning management system (LMS), as a viable alternative to two major proprietary LMSs: WebCT Vista and Lotus Notes.The evaluation tool a group of core users developed to determine AU's choice of LMS is described and the evaluation results are touched upon.The evaluation process, however, was not a neat, technical exercise, but rather a process of debate, contention, disagreement, and compromise.Because an LMS resides at the confluence of the social and technological, choosing an LMS is not a purely technological act, but rather a communicative process that can be fraught with political, economic, and cultural factors, as well as personas.Advocates of open source software need to remain fully cognizant of this fact and be prepared to calmly provide evidence of flexibility, innovation, robustness, and maturity (FIRM) whenever institutional and/or personal objections appeal to and/or promulgate arguments against open source software based on fear, uncertainty, and doubt (FUD).
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it