A Theoretical Multilevel Adaptive Framework for Social Sustainability in Flexible Distribution 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
Active distribution networks are critical to power system sustainability but also pose significant challenges to the flexibility and resilience of power systems due to the high penetration of renewable resources. The solution to this challenge has concentrated on the predominant quantitative methods and technocentric and econometric aspects. This paper integrates social sciences into the energy-climate research in active distribution network power systems. The paper explores a thematic review of social sustainability management theories in developing a socially conscious adaptive theoretical framework towards flexibility and resilience of Distribution System Operators (DSO)-level power systems. The adaptive theoretical framework potentially helps create a research field where social actors and systems are not decoupled from decision-making across multiple scales, where the embeddedness of the system is not taken for granted and fully captures the nuances at the nexus of systems, agents, and transition. The result highlights systems theory, agency theory and transition management theory as the core of a socially sustainable active distribution network.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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