DYSFUNCTION AS AN OBSTACLE IN ACHIEVING SUSTAINABLE SOCIAL ECOLOGICAL ECONOMIC DEVELOPMENT OF THE REGION (EVIDENCE FROM THE VOLGA FEDERAL DISTRICT)
Bibliographic record
Abstract
The creation of a society with a vector of sustainable development predetermines the search for optimal proportions of reproduction of social ecological economic parameters of the territories. The article presents the development results of sustainable social ecological economic advancement model of the regional system and verifies the appropriateness of the social ecological economic systems’ parameters of the regions of the Volga Federal District (VFD) to the proposed sustainable development model. We introduce the notion of dysfunction (dysfunctional development) considered as an obstacle and antipode of sustainable development of the territory, and define the boundaries of normally occurring processes and the dysfunctionality for the VFD regions. We performed calculation and evaluation of the territories in terms of their conformity with sustainable development or dysfunction. The proposed method can be positioned as a way of identifying and adjusting dysfunctional territories and can be applied for further definition of effective response tools.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".