Modelling 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
Over the years, Critical Infrastructures (CIs) have become increasingly automated and interlinked. This linkage between CIs results in a very complex and dynamic system which increases their vulnerability to failures. In fact, interdependencies between CIs are a true means of propagation of hazards from one network to another. Thus, when an infrastructure is experiencing difficulties and failures, it can rapidly generate a cascading effect affecting the other infrastructures. Identifying, understanding and modelling these interdependencies is thus necessary to prevent these cascading effects. This paper presents a model developed to understand the interdependencies between CIs and to prevent cascading effects from happening. Based on the resources exchanged by CIs, this model allows the visualisation and the anticipation of domino effects in time and space, allowing CI managers 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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