A Generic Model for Resilient Dynamic Systems
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
Resilience is a concept unfamiliar to biology, sociology. It simply says about how a biological system and social system can recover from catastrophic disturbances that may come from both internal and external and may be incident and accident. Engineering resilience has raised attention in the early 1990s after the 911 disaster. Engineered systems refer to any system that is built from humans, such as manufacturing system, robotic system, and so forth. A considerable number of studies are conducted on engineering resilience. In this paper, we propose a generic model for resilient dynamic systems. We shall first propose a set of structural characteristics of a resilient dynamic system in the modern technological context, namely digitization and artificial intelligence. We shall then give a summary of engineering resilience research in literature, and then outline this generic model. We will show applications of this generic model to robotic manufacturing systems upon the modern technological context.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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