Resilience Factors Reconciled with Complexity: The Dynamics of Order and Disorder
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
One of the main challenges in crisis management is to assess, ahead of time, the resilience of a system before a crisis erupts (pandemic, computer bug with large‐scale effects, cascade effects in critical infrastructure, etc.). In this article, we propose to reconcile the multiple and sometimes divergent definition of resilience by explaining the complementarity of stability and adaptability inherent to the concept. Also, we integrate a new dimension to the assessment of resilience by analysing the dynamics of negentropy (order, stability) and entropy (disorder, change) between factors. Until now, the evaluation of organizational and interorganizational resilience focused on analysing the presence or absence of resilience factors. With this new dimension, we show the complementarity and interdependence of resilience factors. Finally, we demonstrate how resilience is based on both favourable order and favourable disorder which create diversity and conformity in the system, while vulnerability relies on unfavourable order and unfavourable disorder.
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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 | 0.001 | 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 | 0.001 |
| Open science | 0.000 | 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