The operational tools for managing physical interdependencies among critical infrastructures
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
As a result of advances in information technology and the necessity of improved efficiency, Critical Infrastructures (CIs) have become increasingly automated and interlinked over the years. This linkage between CI results in a very complex and dynamic system. However, this growing complexity of CI and their interdependencies reveals new vulnerabilities. In fact, the interdependencies between CI are a true means of the propagation of hazards from one network to another. Understanding these interdependencies is necessary to prevent any cascading effects to affect the functioning of these infrastructures. This paper presents a concrete set of tools enabling the management of physical interdependencies among the CI. Based on the resources exchanged by CI, these tools (consequence curves and flexible cartographic representations) allow the visualisation of the evolution of domino effects in time and space, giving the CI managers the potential to set up convenient preventive and protective measures in order to avoid their propagation.
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 | 0.004 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| 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