Using meta-interfaces to support secure dynamic system reconfiguration
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
Today's operating system designers face a daunting challenge: they must design systems that can support a great diversity of applications in a secure, efficient, reliable, and effective fashion. The challenge becomes even more daunting when some of the applications and their requirements cannot even be envisioned until after the system has been deployed for some time. One solution lies in designing systems that can be reconfigured and enhanced throughout their life-cycle by applications. However, opening up an operating system to application-initiated changes can significantly weaken the integrity of a system. This paper presents a system architecture that accommodates dynamic reconfigurations securely and efficiently, without exposing applications to unconfined complexity and risk. It also discusses a prototype implementation of this system architecture, and our first experience at dynamically extending the system scheduler without loss of service to running applications.
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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 | 0.001 | 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