Towards a precise definition of the OMG/MDA framework
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
We are currently witnessing an important paradigm shift in information system construction, namely the move from object and component technology to model technology. The object technology revolution has allowed the replacement of the over twenty-year-old step-wise procedural decomposition paradigm with the more fashionable object composition paradigm. Surprisingly, this evolution seems to have triggered another even more radical change, the current trend toward model transformation. A concrete example is the Object Management Group's rapid move from its previous Object Management Architecture vision to the latest Model-Driven Architecture. This paper proposes an interpretation of this evolution through abstract investigation. In order to stay as language-independent as possible, we have employed the neutral formalism of Sowa's conceptual graphs to describe the various situations characterizing this organization. This will allow us to identify potential problems in the proposed modeling framework and suggest some possible solutions.
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 | 0.004 | 0.004 |
| 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