Formal Model and DSL for Separation of Concerns based on Views.
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 separation of concerns (SOC), as a conceptual tool, enables us to manage the complexity of software systems that we develop. The benefits of this paradigm, such as reuse, enhanced quality and adaptability, have been key drivers of its adoption. Modern software systems and applications take advantage of the technologies built around this paradigm, in which a client program can access different functional aspects (views) of the same domain. One of these SOC approaches is View-oriented Computing (VOC), which suffers from a formal model to canonically and consistently represent the different concepts of VOC as well to have the necessary background to formally verify the systems build on top of it. This paper describes a formal algebra-based model to describe different entities related to VOC. Especially, it introduces algebra and formalism associated with a Domain Specific Language (DSL) notation to illustrate the VOC paradigm.
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 | 0.001 |
| 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 | 0.001 | 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