A Critique of the Authoritative Source of Truth Concept in Model-Based Systems Engineering
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
With the ongoing adoption of Model-Based Systems Engineering (MBSE) as a best practice in several domains there are ongoing efforts to improve the maturity of MBSE methods. In the vision for MBSE several organizations and actors foresee a landscape where there is a governing system model acting as an Authoritative Source of Truth (ASoT). The main argument for the ASoT is to have a single source where all information can be accessed and written to inside of an organization, supporting consistency and management of data. Recent works have proposed solutions that implement tool chains to support the ASoT. In this paper we take a critical look at the concept of ASoT and discuss several issues that inhibit ASoT creation and maintenance. We discuss challenges from three perspectives; systems theory, technical challenges, and industrial barriers.
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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