4.2.3 From Process Aggregation to Process Integration
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 A process is a kind of system. As such, it derives its added value from the relationships among its elements (e.g., activities). For a group of activities to be truly integrated (versus merely aggregated), their interfaces must be well defined. In engineering processes, these interfaces usually indicate a flow of information. Engineering processes are extremely complex because of the large number of interfaces, as many types of information flow to many destinations. While the general structure of a process architecture is specified top‐down, the description of what actually flows must be extracted from the existing, implicit way work really gets done. Detailed descriptions of various processes must then be integrated into a process model that will have some prescriptive value. (The systems engineering “V” model applies to processes as well as to products.) This paper applies a powerful technique for representing and analyzing complex processes, the design structure matrix (DSM). The paper shows how to use the DSM to account for both internal and external inputs and outputs, providing the basis for process “puzzle pieces” that can be assembled to form large, integrated processes where value can flow.
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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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