Proceedings of the 3rd International Workshop on Emerging Trends in Free/Libre/Open Source Software Research and Development
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
A large body of research into FLOSS (Free/Libre/Open Source Software) has focused on the exemplars within the available corpus of FLOSS projects: such as Apache HTTP Server, Eclipse, and Linux. However, many other FLOSS projects exist which provide a very rich body to study and understand. By focusing on more projects that perhaps do not gain the immediate attention of researchers, we hope to broaden our knowledge of the rich ecosystems within FLOSS. Specifically, the goal of the FLOSS-3 workshop (8th in a series at ICSE) is to bring together academic researchers, industry members, and FLOSS developers for the purpose of discussing topics including analyzing competing projects within FLOSS that share the same domain, performing data collection and analysis among many FLOSS projects, examining governance models within FLOSS projects, identifying licensing paradigms of FLOSS projects, discussing the interplay of corporate involvement within FLOSS projects, social and technical interactions between FLOSS projects, and dependency analysis and reuse between FLOSS projects. We believe that this workshop will also serve as a common bridge between the ACM/IEEE (ICSE) and (IFIP) OSS research communities, thereby providing a window for others in the Software Engineering community to interact with and learn more about the advances of research into FLOSS development and communities.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.000 | 0.001 |
| 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