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
Design engineering is different from other more artistic forms of designing because on one hand it is more constrained by the engineering sciences, economics and other factors, but on the other hand it has more possibilities for abstract modeling in the conceptual phases. Creativity is essential, but in many cases not sufficient to explore the many possible candidate solutions. A more systematic and methodical approach can help to overcome many of the problems that arise during conceptualizing in design engineering. Use of appropriate methods to enhance the search for solutions can expand the solution field. A systematic approach based on engineering design science has been shown to enhance understanding, good record-keeping, and traceability for the design process. Several grounded theories are reviewed and brought into mutual context, they refer to memory and thinking operations, expertise, human action modes, and competencies. The discussion reveals a need for specific instructions for a methodical and systematic engineering design procedure, when the design problem is seen as non-routine, and expertise is lacking.
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 | 0.008 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| 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