Interorganizational Dynamics and Characteristics of Critical Infrastructure Networks: The Study of Three Critical Infrastructures in the <scp>G</scp>reater <scp>M</scp>ontreal Area
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
This study applies a strategic framework for assessing organizational and network resilience of 75 critical infrastructure ( CI ) players in the G reater M ontreal area. It identifies the challenges to these CI s' resilience. Contingency analysis is used to describe the main tendencies regarding values, practices, rules and norms, communicational and decisional structures as well as the interdependencies and their institutional, normative and economic contexts. This article examines three well‐known CI networks: transportation, energy and telecommunication, comprising governmental, community and private‐sector organizations. To do so, we developed a survey instrument to collect data from hundreds of critical infrastructure managers. Our findings indicate discrepancies in internal and external resilience factors across organizational type, size and CI .
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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 | 0.001 |
| 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 | 0.000 | 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