QUALITY OF LIFE AS A FACTOR FOR INTEGRATION OF RESILIENCE RESEARCH OF ENERGY, SOCIO-ECOLOGICAL AND SOCIO-ECONOMIC 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
Рассматривается понятие устойчивости в смысле «Resilience» и связанные с ним понятия энергетической и экологической безопасности. Предлагается рассматривать качество жизни как фактор интеграции исследований устойчивости энергетических, социо-экологических и социо-экономических систем. Вводятся критерии устойчивости энергетических, экологических и социальных систем. Когнитивное моделирование рассматривается как один из основных инструментов исследований устойчивости. Приводятся примеры когнитивного моделирования. The concept of resilience and related concepts of energy and environmental safety are considered. It is proposed to use the quality of life as a integration factor of resilience research of energy, socio-ecological and socio-economic systems. Criteria for the resilience of energy, ecological and social systems are introduced. Cognitive modeling is seen as one of the main tools in resilience research. Examples of cognitive modeling are given.
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 | 0.007 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 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