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
The root cause of many user interface (UI) design deficiencies is not a lack of knowledge about human-computer interaction principles nor a lack of information on user needs. Rather, many UI deficiencies arise because the UI design process is ad hoc and the design is not communicated successfully to the programmers who will implement it. Many UI designers are seeking and discovering ways to plan, manage, and document UI design work more effectively. This workshop provided an opportunity for participants to share lessons learned and obtain advice from other participants.In the weeks leading up to the workshop, participants selected the specific topics that were of prime concern to them. As a result, we narrowed the focus of the workshop to the following topics:• Division of UI design activities into stages• Division of labor and interdisciplinary collaboration• Collaborating in geographically-dispersed projects• Writing the UI specification• Defining the maturity of the UI design process.The following sections summarize the results of the workshop activities for each of these topics.
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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.003 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.004 |
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