3.5.2 Virtual Collaboration, e‐SE, and Team Sports Metaphors –Opportunities to Innovate, Integrate, and Invigorate
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
Abstract Participation in virtual teams performing systems engineering‐related activities is a part of our collective destiny. While many of the functions of systems engineering (SE) are already difficult, they may be even more challenging in virtual team settings. As we transition to an electronic‐systems engineering (e‐SE), our success will depend in part on whether the environment, training, culture, infrastructure, and processes provide the appropriate support for various types of virtual collaboration that will occur within a project or enterprise. This paper characterizes several models of collaboration and virtual collaboration – some of them based on team sports metaphors. We identify and describe different kinds of web‐based support that may be advantageous to these variations on the collaboration theme. In the process, we identify a variety of opportunities for innovation and integration – all with the aspiration of helping to invigorate SE‐related virtual team processes and activities.
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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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